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От чат-бота к AI агенту: собираем локальную систему на LibreChat, Langflow и MCP

Всем привет! Меня зовут Николай Луняка. В прошлой статье мы строили локальную систему для транскрибации аудио, и многие из вас откликнулись на тему цифровой независимости. Сегодня продолжим эту линию и соберем агентную AI систему, которая работает локально.

Обычный чат с LLM ограничивается текстом, но как только нужны файлы, БД или пайплайны, то уже требуются инструменты и обвязки. Например, в ChatGPT можно прикладывать файлы прямо в диалог, и это удобно для разовой задачи. Но когда файлов много, все равно приходится загружать их в сессию, плюс есть ограничения по размеру и привязка к конкретному чату.

Одним из решений такого сценария являются AI-агенты — системы, которые умеют вызывать инструменты, работать с файловой системой и выполнять сложные многошаговые сценарии.

Представьте, что вам не нужно вручную копировать данные из таблиц в чат или пересказывать боту содержание своих документов. Вместо этого вы просто пишете: «Проверь отчеты в папке и выпиши главное». И агент сам открывает нужные файлы, анализирует их и выдает результат.

Почему мы не делали так раньше? Все упиралось в три простые проблемы:

  1. Порог входа. Чтобы дать нейронке доступ к вашим файлам, приходилось писать сложный код. Теперь это можно просто «собрать» из готовых блоков.

  2. Страшно за свои данные. Мало кто захочет давать доступ к своим личным документам или почте облачным сервисам. Мы же все будем запускать локально, на своем компьютере.

  3. Программы плохо понимали друг друга. Раньше подружить разные инструменты было головной болью. Но появился новый стандарт, как протокол MCP, который работает как универсальный переходник для любых AI-инструментов.

В этой статье я покажу, как собрать локальную агентную систему из трех основных компонентов:

1. LibreChat — open-source UI для работы с LLM (провайдеры моделей + подключение MCP-серверов через librechat.yaml).

2. Langflow — low-code платформа и визуальный редактор, flow как последовательность компонентов/шагов.

3. MCP серверы — сервер, который публикует tools/ресурсы по стандартному транспорту (HTTP/SSE/stdio).

Статья построена по принципу «по нарастающей», где каждый новый уровень — это рабочий инструмент. Можно остановиться на любом этапе, а можно пройти все, и тогда получите связку UI + инструменты + централизованная логика (и дальше её можно развивать под свои сценарии).

Уровень

Что получаем

Сложность

1

LibreChat + локальная LLM (Ollama)

Простой чат с историей

2

+ MCP filesystem

Агент может читать ваши файлы

3

+ Langflow

Последовательное воркфлоу с валидациями

4

Langflow как MCP сервер

Централизация логики в Langflow

5

Langflow со своими правилами как модель для LibreChat

Полная кастомизация через FastAPI прокси и контроль над поведением агентов

Важно: все примеры рассчитаны на локальный запуск в изолированной docker сети. Для публичного деплоя потребуется дополнительная настройка безопасности (TLS, reverse proxy и т.д.)

Также выражаю благодарность коллегам — Михаилу Моисееву (@msfs11 и Михаилу Войтко (@mvoytko) за ревью статьи. Ваши комментарии помогли сделать материал лучше.

Уровень 1: LibreChat + локальная LLM

LibreChat это open-source веб UI чат для работы с различными LLM в одном интерфейсе. Он умеет подключаться к OpenAI-совместимым API и поддерживает работу с агентами и протокол MCP (о котором мы поговорим в следующем уровне).

Развертывание

Архитектура:

На этом уровне мы запустим три контейнера:

  1. MongoDB — для хранения истории диалогов и настроек пользователей.

  2. Ollama — для запуска локальных LLM.

  3. LibreChat — веб UI чата.

Все контейнеры будут работать в изолированной Docker сети и общаться по внутренним именам (service names).

Шаг 1: Подготовка проекта

Создаем структуру проекта:

ai-agent/
├── docker-compose.yml
├── librechat.yaml
├── .env
└── documents/

Шаг 2: создаём docker-compose.yml

Создайте файл docker-compose.yml со следующим содержимым:

services:
  mongo:
    image: mongo:7.0.5
    restart: unless-stopped
    environment:
      MONGO_INITDB_ROOT_USERNAME: ${MONGO_USER}
      MONGO_INITDB_ROOT_PASSWORD: ${MONGO_PASSWORD}
    volumes:
      - ./mongo_data:/data/db
    networks:
      - ai-network
    healthcheck:
      test: ["CMD-SHELL", "mongosh \"mongodb://$${MONGO_INITDB_ROOT_USERNAME}:$${MONGO_INITDB_ROOT_PASSWORD}@localhost:27017/admin\" --quiet --eval \"db.adminCommand('ping').ok\" | grep 1 >/dev/null"]
      interval: 10s
      timeout: 5s
      retries: 5

  ollama:
    image: ollama/ollama:latest
    restart: unless-stopped
    ports:
      - "11434:11434"
    volumes:
      - ./ollama_data:/root/.ollama
    networks:
      - ai-network
 # Если у вас нет NVIDIA GPU удалите секцию deploy
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

  app:
    image: ghcr.io/danny-avila/librechat:latest
    restart: unless-stopped
    ports:
      - "3080:3080"
    depends_on:
      mongo:
        condition: service_healthy
      ollama:
        condition: service_started
    environment:
      MONGO_URI: mongodb://${MONGO_USER}:${MONGO_PASSWORD}@mongo:27017/?authSource=admin
      JWT_SECRET: ${JWT_SECRET}
      JWT_REFRESH_SECRET: ${JWT_REFRESH_SECRET}
      ALLOW_REGISTRATION: "true"
    volumes:
      - ./librechat.yaml:/app/librechat.yaml
    networks:
      - ai-network

networks:
  ai-network:
    driver: bridge

Шаг 3: создаём librechat.yaml

Если повторяете статью позже и конфиг ругается на схему, то сверяйтесь с актуальной версией Librechat и при необходимости обновляйте ее до актуальной.

Создайте librechat.yaml:

version: 1.3.3
cache: true

endpoints:
  custom:
    - name: "Ollama (Local)"
      apiKey: "ollama"
      baseURL: "http://ollama:11434/v1/"
      models:
        default:
          - "llama3.1"
        fetch: true
      titleConvo: true
      summarize: false

Важно: строка модели в default должна точно совпадать с тем, как она называется (см. шаг 6 (ollama list)). Если модель хранится как llama3.1:8b или llama3.1:latest, то именно так и надо указывать.

Шаг 4: создаём .env файл

Создайте .env с переменными окружения:

MONGO_USER=admin
MONGO_PASSWORD=CHANGE_ME_STRONG_PASSWORD_HERE

JWT_SECRET=CHANGE_ME_RANDOM_STRING_1
JWT_REFRESH_SECRET=CHANGE_ME_RANDOM_STRING_2

Шаг 5: запускаем контейнеры

Теперь запускаем все сервисы:

# Запускаем в фоновом режиме
docker compose up -d

# Проверяем статус контейнеров
docker compose ps

Если что-то пошло не так:

# Смотрим логи всех сервисов
docker compose logs

# Или логи конкретного сервиса
docker compose logs app
docker compose logs mongo

Если после старта app не поднимается, первым делом смотрите логи mongo, чаще всего проблема в том, что Mongo еще не прошел healthcheck

Шаг 6: скачиваем модель в Ollama

Ollama запущен, но в нем еще нет моделей. Можно выбрать другую модель из библиотеки Ollama или подключить другой OpenAI совместимый endpoint.

Скачаем Llama 3.1:

docker compose exec ollama ollama list

Как выбрать модель (в двух словах)?

Задача

Рекомендация

Пример

Быстрый чат на слабом железе

Легкая модель (3B-8B, квантованная)

llama3.2:3b-q4_K_M

Генерация кода

Модели coder или instruct

deepseek-coder:6.7b

Работа с инструментами (MCP)

Модели с поддержкой tool calling

llama3.1:8b

Сложные флоу (многошаговые)

Модели с reasoning

deepseek-r1:14b

Максимальное качество

Большие модели (70B+)

llama3.1:70b

Проверяем, что модель скачалась:

docker compose exec ollama ollama list

Вы должны увидеть:

8496b2e721473894eaeb285649b65a8a.png

Шаг 7: открываем LibreChat

Переходим в браузере http://localhost:3080/.

При первом запуске вы увидите экран регистрации. Создайте аккаунт (данные хранятся локально в MongoDB).

Настройка чата:

  1. В верхнем меню выберите endpoint: Ollama.

  2. В выпадающем списке моделей выберите llama3.1.

  3. (Опционально) Нажмите на иконку настроек и настройте параметры:

    - Temperature — креативность ответов,
    - Max Tokens — максимальная длина ответа,
    - System Prompt — промт для модели.

Теперь можно общаться с локальной LLM через удобный интерфейс

7b35f982c0477f163dd18542aaeee92f.png

LibreChat предоставляет расширенный инструментарий для работы с LLM:

  • Пресеты (Presets).

  • Мультимодальность.

  • Переключение между провайдерами.

  • Экспорт диалогов.

8a1fee4b696ea8ba60f1999c8197e0d4.png

Как итог: что мы получили на Уровне 1

25906245f53f2839576f62862d453589.jpeg

На этом уровне мы развернули базовую инфраструктуру для работы с локальными LLM. Этого достаточно, если вам нужен просто удобный локальный чат с сохранением истории. Но пока это еще без файлов и инструментов.

В следующем уровне мы добавим MCP filesystem сервер, и наша модель научится работать с файлами на диске.

Уровень 2: MCP Server в LibreChat

MCP (Model Context Protocol) — это новый открытый протокол, который описывает как разным LLM подключаться к инструментам (вашими файлами, базами данных или API) через единый стандарт.

Вам больше не нужно настраивать отдельную интеграцию для каждой задачи достаточно одного MCP-сервера. Хотите подключить файлы, почту или календарь? Просто возьмите готовый сервер из каталога (например, есть reference серверы в GitHub: modelcontextprotocol а для поиска сторонних, есть реестры вроде Smithery.ai). При этом вы сохраняете полный контроль, так как агент работает в изолированной среде и получает доступ только к тем папкам, которые вы ему открыли (в конфиге), не обращаясь к остальной системе.

Для работы с MCP нужен хост / клиент / сервер.

MCP Host — приложение, с которым общается пользователь, он принимает запрос, знает какие MCP сервера доступны, и в каких случаях их вызывать.

MCP Client — часть хоста, которая обеспечивает связь между хостом и сервером - по одному соединению на каждый сервер.

MCP Server — это отдельный сервис прослойка, который умеет работать с внешней системой на ее языке (API, файлы и т.д.), и наружу отдает единый набор инструментов доступный для хоста.

Для связи с MCP сервером существует два основных вида транспорта:

  1. stdio — локальный транспорт, где хост запускает MCP сервер как процесс и общается с ним через stdin / stdout.

  2. Streamable HTTP — удаленный транспорт. MCP сервер работает как отдельный сервис и отдает один HTTP endpoint (обычно /mcp) для GET / POST. При необходимости внутри этого транспорта можно стримить события через SSE.

Дальше я покажу всё на примере filesystem MCP server. Это готовый сервер, который дает набор инструментов для работы с файлами в папке (показать список, прочитать файл и т.д.). По умолчанию это stdio сервер и HTTP порта не поднимает.

Чтобы подключить такой stdio сервер по сети, нужен мост, который конвертирует stdio ↔ сетевой MCP транспорт (в статье показываю на примере Streamable HTTP). Для этого я использую supergateway. Он запускает filesystem сервер как дочерний stdio-процесс и публикует его наружу как Streamable HTTP сервер на /mcp.

Развёртывание

Шаг 1: обновляем docker-compose.yml

Добавьте новый сервис mcp-filesystem в ваш docker-compose.yml:

Важно: всегда монтируйте только рабочую папку. По умолчанию используйте :ro. Разрешайте запись (:rw) только если это действительно необходимо и вы понимаете риски, так как агент сможет удалять и изменять файлы.

services:
  # ... (mongo, ollama, app - оставляем без изменений)

  mcp-filesystem:
    image: node:20-slim
    restart: unless-stopped
    volumes:
      - ./documents:/data:ro  # замените на :rw, если хотите разрешить запись
    networks:
      - ai-network
    command:
      - sh
      - -lc
      - |
          set -e
          npx --yes [email protected] \
            --port 8000 \
            --outputTransport streamableHttp \
            --stateful \
            --sessionTimeout 600000 \
            --streamableHttpPath /mcp \
            --healthEndpoint /healthz \
            --stdio "npx --yes @modelcontextprotocol/[email protected] /data"
    healthcheck:
      test:
        [
          "CMD-SHELL",
          "node -e \"require('http').get('http://localhost:8000/healthz', r=>process.exit(r.statusCode===200?0:1)).on('error',()=>process.exit(1))\""
        ]
      interval: 10s
      timeout: 5s
      retries: 3

Шаг 2: обновляем librechat.yaml

Добавьте конфигурацию MCP в librechat.yaml:

mcpSettings:
  allowedDomains:
    - "mcp-filesystem"
mcpServers:
  filesystem:
    type: "streamable-http"
    url: "http://mcp-filesystem:8000/mcp"

Шаг 3: подготовка тестовых данных

Убедитесь, что в папке documents есть файлы для тестирования. Для примера можно создать два файла в формате .txt и наполнить их данными.

Шаг 4: перезапускаем сервисы

# Перезапускаем только измененные сервисы
docker compose up -d mcp-filesystem app


# Проверяем статус
docker compose ps

Проверяем, что MCP сервер запустился, смотрим логи:

docker compose logs mcp-filesystem

Шаг 5: настройка в LibreChat

  1. Откройте LibreChat: http://localhost:3080

  2. Создайте новый чат или откройте существующий

  3. Нажмите на иконку «Настройки MCP» в меню справа

  4. Вы должны увидеть доступный MCP сервер: filesystem

  5. Включите его, нажав на переключатель справа

Шаг 6: тестирование

Теперь модель может вызывать инструменты для работы с файлами.

Пример некоторых команд:

4dc692e92e24ef2a2631a739d321c230.png

Как это работает под капотом?

LibreChat подключается к MCP-серверу по streamable-http, получает список доступных tools, а дальше уже модель решает вызывать инструмент или отвечать текстом. Сам MCP-сервер при вызове инструмента читает файлы только из того, что вы смонтировали (в нашем примере /data).

Схема упрощена для общего видения картины:

e9c50da7a820ec5f223301a3b666aa80.png

Как итог: что мы получили на Уровне 2

f090927e1074dfa0211727ee34196da3.jpeg

На этом уровне у модели появились tools (filesystem). За счет этого уже можно решать простые многошаговые задачи (прочитать несколько файлов, сравнить, составить отчет). Плюс такого подхода в том, что дальше можно подключать другие MCP серверы (база данных, API, почта) и делается это примерно одинаково для любого совместимого сервера.

Но если нужен предсказуемый результат (проверки, ветвления, обработка ошибок, фиксированный формат ответа) на одном LibreChat+MCP — это неудобно. На этом уровне модель сама решает, когда вызывать инструмент, и это зависит и от промта, и от выбранной модели. А если вы работаете с чувствительными данными, то есть риск, что модель может галлюцинировать.

В следующем уровне мы добавим Langflow — для создания последовательных флоу с валидациями и кастомной логикой.

Уровень 3: Langflow + MCP Server

Langflow — это open-source платформа, где флоу собирается через визуальный интерфейс. В отличие от обычного чата с LLM, здесь можно зафиксировать порядок шагов. Каждый флоу можно запускать не только через UI, но и через REST API. Чтобы избежать галлюцинации при работе с данными существует возможность использовать свои Python-компоненты (например, для расчетов). Плюс в Langflow есть нативная поддержка MCP Tools.

Далее я покажу простой практический кейс с двумя xlsx файлами, которые содержат расходы за разные месяцы. В этом флоу будет четкая последовательность действий: найти нужные .xlsx в папке с помощью mcp-filesystem, прочитать их и посчитать суммы по категориям и создать таблицу — кодом в кастомном компоненте, а уже потом оформить итог в виде коротких выводов при помощи LLM.

Развёртывание

Шаг 1: обновляем docker-compose.yml

Добавляем сервис langflow (остальные сервисы остаются без изменений):

  langflow:
    image: langflowai/langflow:latest
    restart: unless-stopped
    ports:
      - "7860:7860"
    environment:
      LANGFLOW_AUTO_LOGIN: "True"
      LANGFLOW_CONFIG_DIR: /app/langflow
      LANGFLOW_DATABASE_URL: sqlite:////app/langflow/langflow.db
      LANGFLOW_COMPONENTS_PATH: /app/custom_components
    volumes:
      - ./langflow_data:/app/langflow
      - ./custom_components:/app/custom_components
      - ./documents:/data:ro
    networks:
      - ai-network
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://localhost:7860/health_check').status==200 else 1)"]
      interval: 10s
      timeout: 5s
      retries: 5

Важно: в данном коде, в рамках локальной сборки, я использую автоматический вход без пароля LANGFLOW_AUTO_LOGIN: «True».

Шаг 2: запускаем Langflow

# Запускаем сервис
docker compose up -d

# Проверяем статус
docker compose ps langflow

# Смотрим логи
docker compose logs -f langflow

Шаг 3: создаём Flow в Langflow

Откройте браузер: http://localhost:7860.

Если LANGFLOW_AUTO_LOGIN: «True», вы сразу попадете в интерфейс. Иначе создайте аккаунт.

В Langflow создаем новый Flow, нажав «New Flow» и добавляем компоненты:

  1. Chat Input.

  2. Agent.

  3. New Custom components (в самом низу).

  4. MCP Tools.

  5. Chat Output.

b5c0a573d53da1d9aed55df1dc555857.png4c5e85d8098176b59bb781dc49a92500.png

Шаг 4: создаём Custom Component для флоу

Нажимаем на «Code» и добавляем свой код компонента.

2224a39ad355b29c5fa594f451134302.png

У меня кастомный компонент будет выполнять следующие функции:

  1. Принимает путь к нужному файлу формата xlsx.

  2. Проверяет наличие нужных колонок (Категория и Расход).

  3. Приводит данные из колонки «Расход» к числовому формату.

  4. Группирует строки по «Категория» и считает суммы по «Расход».

  5. Считает общий итог и количество строк.

  6. Формирует результат в виде таблицы.

После добавления кода — сохраняем и переводим его в режим «tool mode».

6c53cf7388ef5b231f8f9fc4e37ea117.png

Важно: чтобы кастомные компоненты подгружались автоматически и сохранялись при перезапуске контейнеров, их необходимо сохранять в папке custom_components. Также надо создать файл __init__.py, чтобы директория превратилась в Python-пакет и Langflow смог корректно индексировать инструменты.

Шаг 5: подключаем MCP filesystem в Langflow

Добавьте MCP Server:

d6e963c556f9c3c18ba87f29314e9bd2.png

Теперь сам компонент MCP Tools можно перевести в режим tool mode и отредактировать инструменты в настройках, если есть в этом необходимость.

Шаг 6: настраиваем Agent (Ollama)

Внутри docker сети общаемся по service name ollama, не по localhost.

  • Ollama API URL: http://ollama:11434.

  • Model Name: выбрать из выпадающего списка llama3.1 (или то, что вы скачали).

  • Temperature: 0.3.

  • Agent Instructions: пишем промт, который четко фиксирует последовательность действий и вызовов tools.

В настройках самого компонента есть ещё много полезных функций.

b04b70e1548106ea71566869a71dd0e7.png

Шаг 7: выставляем связи

Chat Input → Agent (Input).

MCP Tools → Agent (Tools).

Custom component (Tools) → Agent (Tools).

Agent → Chat Output.

ec205c879aae7b390312024ba8a955b0.png

Шаг 8: тестирование в Playground

Нажимаем на Playground и просим сделать отчет:

174d4469f0c7362a101ec4614aad52b8.png

Схема работы

7290a9f8716c6ebbe5dbb7762f872250.png

Сравнение подходов:

Критерий

LibreChat + MCP (Уровень 2)

Langflow + MCP (Уровень 3)

Сложность настройки

Низкая (добавить MCP сервер в конфиг)

Средняя (нужно собрать Flow)

Детерминизм

Зависит от модели

Фиксированная логика

Валидация данных

Только через промт

Отдельные компоненты

Кастомная логика

Нет

Python компоненты

Формат вывода

Произвольный

Контролируемый

Отладка

Сложно (черный ящик)

Легко (видно каждый шаг)

UI для пользователя

Готовый чат

Нужна интеграция (или Playground)

Подходит для

Простые задачи, чат

Сложные воркфлоу, автоматизация

Как итог: что мы получили на Уровне 3

4caf589a4b25200fbbed1dc6ca6e0a85.jpeg

На этом уровне мы добавили Langflow и получили не просто чат с инструментами, а фиксированный сценарий выполнения. MCP по-прежнему отвечает за доступ к файлам, а расчеты и проверки уносим в Python-компоненты, поэтому итог получается стабильнее. В работе можно применять в различных кейсах где нужна точность и большой объем данных (например, в работе с ролевой моделью). Плюсом, что в данном процессе шаги не меняются от запуска к запуску и формат вывода проще держать под контролем, а ошибки можно отлавливать на этапе обработки данных.

С другой стороны, здесь увеличивается порог входа, да и флоу нужно собрать и поддерживать. Готового пользовательского UI тут нет (Playground скорее для тестов). Также весь созданный процесс можно встроит в свой сайт через REST API, но если нужен функционал как у чата (хранение истории, авторизация, пресеты и т.п.), то все это придется реализовывать дополнительно.

В следующем уровне подключим Langflow к LibreChat, чтобы совместить последовательную логику и готовый чат-интерфейс.

Уровень 4: Langflow как MCP Server в LibreChat

На Уровне 4 настроим Langflow в режиме MCP-сервера, чтобы добавить его как инструмент LibreChat (как это делали на уровне 2). Таким образом, мы сможем получить привычное окно чата от LibreChat и гарантированную точность выполнения шагов от Langflow.

Развёртывание

Шаг 1: включаем MCP Server в Langflow

  1. Открываем проект в Langflow — http://localhost:7860.

  2. В верхнем меню нажмите на вкладку MCP Server.

    883ce250a91909e50fe719c529a5997c.png

    3. Убеждаемся, что нужный flow добавлен в Flows/Tools (например, NEW_FLOW).

7c807c8a095fe8ba937800c4de564976.png

4. В блоке справа выбираем транспорт:

В Langflow в JSON показывает пример с localhost, типа:

ВАЖНО: если LibreChat у в Docker, то для него localhost это сам контейнер LibreChat.

Поэтому делаем замену:

...(где langflow — имя сервиса из docker-compose).

Шаг 2: настраиваем аутентификацию (опционально)

Если Langflow доступен не только вам (или вы просто хотите нормальную защиту API), включите доступ по API ключу:

  1. Langflow → Settings → API Keys → Create.

  2. Langflow сгенерирует ключ вида: sk-langflow-abc123def456...

  3. Скопируйте ключ - он больше не будет показан!

  4. Вставьте его в .env как LANGFLOW_API_KEY.

a4eb325cdf10438c518b004fda897386.png

Сохраняем ключ auth в .env

Если вы оставили Auth: None (public), этот шаг можно пропустить.

Добавьте в файл .env:

LANGFLOW_API_KEY=sk-...

Шаг 3: обновляем docker-compose.yml

services:
. . . 
  app:
    image: ghcr.io/danny-avila/librechat:latest
    restart: unless-stopped
    ports:
      - "3080:3080"
    depends_on:
      mongo:
        condition: service_healthy
      ollama:
        condition: service_started
      langflow:  
        condition: service_healthy
    environment:
      MONGO_URI: mongodb://${MONGO_USER}:${MONGO_PASSWORD}@mongo:27017/?authSource=admin
      JWT_SECRET: ${JWT_SECRET}
      JWT_REFRESH_SECRET: ${JWT_REFRESH_SECRET}
      ALLOW_REGISTRATION: "true"
      LANGFLOW_API_KEY: ${LANGFLOW_API_KEY}
    volumes:
      - ./librechat.yaml:/app/librechat.yaml
    networks:
      - ai-network
  # ... (остальные сервисы без изменений)

Шаг 4: обновляем librechat.yaml

version: 1.3.3
cache: true

endpoints:
  custom:
    - name: "Ollama (Local)"
      apiKey: "ollama"
      baseURL: "http://ollama:11434/v1/"
      models:
        default:
          - "llama3.1"
        fetch: true
      titleConvo: true
      summarize: false

mcpSettings:
  allowedDomains:
    - "mcp-filesystem"
    - "langflow"

mcpServers:
  filesystem:
    type: "streamable-http"
    url: "http://mcp-filesystem:8000/mcp"

  langflow:
    type: "streamable-http"
    # замените 2a2a5035-2b67-4d20-8713-4d97527dd6c6 на ваш project ID из Langflow
    url: "http://langflow:7860/api/v1/mcp/project/2a2a5035-2b67-4d20-8713-4d97527dd6c6/streamable"
    headers:
      # если включили Auth в Langflow, иначе удалите эту строку
      x-api-key: "${LANGFLOW_API_KEY}"

Шаг 5: перезапускаем сервисы

# Перезапускаем LibreChat для применения изменений
docker compose up -d app

# Проверяем логи
docker compose logs -f app

Шаг 6: добавляем MCP сервер в LibreChat UI

Открываем LibreChat: http://localhost:3080:

  1. Настройки → MCP Servers → Add MCP server.

  2. Заполняем поля:

  • Имя: любое значение

  • URL адрес сервера MCP: вставляем наше скопированное значение

  • Transport:

    • Если URL заканчивается на /sse → выбираем SSE.

    • Если URL заканчивается на /streamable → выбираем Streamable HTTP.

  • Auth:

    • если в Langflow стоит Auth: None (public) - выбираем No Auth,

    • если нажали Add Auth в Langflow - тогда уже API key/OAuth (по ситуаци) из .env.

3. Проставляем галочку в чекбоксе, что доверяете приложению.

Если всё настроено правильно, то сервер появится в списке доступных MCP серверов.

5bcb649085beb629cc601d374e284935.png

Шаг 7: тестирование

Теперь в чате LibreChat:

  1. Выбираем модель (например, локальную llama 3.1).

  2. Выбираем MCP сервер (тот, что добавили).

  3. В настройках чата включите ранее добавленный MCP сервер (Langflow).

39e5dc67f04d828d93ec490223f6ac52.png

Если просто подключить флоу из предыдущего уровня «как есть», то появится проблема, как LLM над LLM. LibreChat отправит запрос своей модели, та вызовет инструмент Langflow, внутри которого другая модель начнет генерировать свой ответ. В итоге мы получаем избыточный расход токенов, лишние задержки и риск, что финальный ответ отобразится некорректно из-за двойной интерпретации.

Схематично это выглядит вот так:

4028506fa675ba916a22e9541edc5c24.png99941400cdb952edf70eabafa5e0d476.png

Чтобы система работала корректно, нужно изменить подход к проектированию флоу в Langflow:

  1. Убираем компонент Agent из Langflow.

  2. Оставляем в Langflow только логику: сбор данных через MCP, Python-скрипты для расчетов и форматирование.

  3. Роль оркестратора полностью отдаем модели в LibreChat.

В такой конфигурации Langflow превращается в чистый MCP-инструмент. Он возвращает сухие факты или готовую таблицу, а модель в LibreChat уже сама решает, как преподнести эти данные пользователю.

3c26f3c6e526b4e43fdeaac6c555f167.png

Как итог: что мы получили на Уровне 4

9764482eefbb4731c782d69a5edd64ae.jpeg

На этом уровне Langflow выступает как инструмент, а оркестратор (LibreChat или любая другая среда) вызывает его через MCP как одну из функций.

Главный минус такой схемы это архитектурная избыточность. Если LibreChat вызывает Langflow-tool, а внутри Langflow еще крутится LLM, получается «LLM над LLM».

Ну и вдобавок два сервиса сложнее администрировать и дебажить. Для простых задач это слишком трудозатратно, но на сложных флоу схема работает хорошо.

Уровень 5: Langflow как «модель» через FastAPI прокси

Несмотря на то, что интеграция через MCP на предыдущем этапе полностью функциональна, она имеет свои ограничения в плане гибкости управления. На уровне 5 мы внедрим прослойку на FastAPI, которая даст возможность обернуть весь процесс Langflow в OpenAI совместимую модель. В интерфейсе LibreChat это будет выглядеть как выбор новой кастомной LLM.

На уровне 5 оркестрация переезжает в Langflow через прокси, а LibreChat становится в основном UI. Для этого нужен совместимый запрос/ответ, который ожидает LibreChat. Langflow при этом запускает процесс своим API и возвращает свой формат ответа, а его нужно адаптировать: взять сообщение, положить текст в нужный input flow, затем извлечь результат и отдать его как ответ модели.

Готовые решения обычно являются шлюзом к LLM-провайдерам, а не запускают конкретный flow с маппингом input/output. Получается, что нужен адаптер, и, как по мне, так проще и прозрачнее сделать его отдельным небольшим FastAPI-сервисом.

По итогу прокси просто транслирует запросы, а вся логика происходит внутри Flow. Это даёт нам полный контроль над поведением агента, можно классифицировать интент пользователя и подбирать под него оптимальную модель (например, дешёвую для простых вопросов и мощную для кодинга, а при конкретных установочных фразах — запускать флоу с инструментами).

Здесь же решается вопрос единого стиля ответов через централизованные системные промпты и нормализацию входных данных — обрезку истории или фильтрацию контекста. По сути, мы создаём единую точку входа, где Langflow выступает не просто цепочкой шагов, а полноценным оркестратором политик.

Развёртывание

Шаг 1: файлы для FastAPI прокси

Dockerfile.fastapi:

FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY fastapi_proxy.py .
CMD ["uvicorn", "fastapi_proxy:app", "--host", "0.0.0.0", "--port", "8001"]

requirements.txt:

# FastAPI и Uvicorn (веб-фреймворк и сервер)
fastapi==0.115.0
uvicorn[standard]==0.30.0
# HTTP-клиент для асинхронных запросов
httpx==0.27.2
# Валидация данных
pydantic==2.8.2

fastapi_proxy.py:

Прокси делает следующие вещи:

  • берет последнее пользовательское сообщение из messages[],

  • вызывает Langflow POST /api/v1/run/<FLOW_ID>?stream=false с указанным tweaks и API-ключом,

  • ищет текстовый ответ в JSON от Langflow, игнорируя технические логи и входные параметры,

  • возвращает ответ либо JSON-ом, либо как SSE-стримом (имитируя чанки OpenAI, чтобы LibreChat не ругался).

from __future__ import annotations
import asyncio
import json
import os
import time
import logging
from typing import Any, List, Optional, AsyncIterator
import httpx
from fastapi import FastAPI, HTTPException, Request
from fastapi.responses import StreamingResponse, JSONResponse
from pydantic import BaseModel, ConfigDict

logger = logging.getLogger("langflow-proxy")
logging.basicConfig(level=os.getenv("LOG_LEVEL", "INFO"))

class Message(BaseModel):
    model_config = ConfigDict(extra="allow")
    role: str
    content: str

class ChatPayload(BaseModel):
    model_config = ConfigDict(extra="allow")
    messages: List[Message]
    model: str
    stream: Optional[bool] = False

app = FastAPI(title="Langflow Proxy")

LANGFLOW_BASE_URL = os.getenv("LANGFLOW_BASE_URL", "http://langflow:7860")
LANGFLOW_FLOW_ID = os.getenv("LANGFLOW_FLOW_ID")
LANGFLOW_INPUT_ID = os.getenv("LANGFLOW_INPUT_ID")
LANGFLOW_API_KEY = os.getenv("LANGFLOW_API_KEY")

def find_text_recursively(data: Any) -> str:
    if isinstance(data, dict):
        if data.get("text") and isinstance(data["text"], str) and data.get("sender") == "Machine":
            return data["text"]
        if isinstance(data.get("message"), str) and data["message"].strip():
            return data["message"]
        for key, value in data.items():
            if key in ["logs", "inputs", "input_value"]:
                continue
            result = find_text_recursively(value)
            if result:
                return result
    elif isinstance(data, list):
        for item in data:
            result = find_text_recursively(item)
            if result:
                return result
    return ""

async def forward_to_langflow(user_input: str) -> str:
    if not LANGFLOW_FLOW_ID or not LANGFLOW_INPUT_ID:
        raise HTTPException(status_code=500, detail="Configuration error")
    url = f"{LANGFLOW_BASE_URL}/api/v1/run/{LANGFLOW_FLOW_ID}?stream=false"
    payload = {
        "output_type": "chat",
        "input_type": "chat",
        "tweaks": {LANGFLOW_INPUT_ID: {"input_value": user_input}},
    }
    headers = {"x-api-key": LANGFLOW_API_KEY} if LANGFLOW_API_KEY else {}
    timeout = httpx.Timeout(300.0, connect=15.0)
    async with httpx.AsyncClient(timeout=timeout) as client:
        resp = await client.post(url, json=payload, headers=headers)
        if resp.status_code >= 400:
            logger.error(f"Langflow error {resp.status_code}: {resp.text[:800]}")
            return f"Error {resp.status_code}"
        try:
            data = resp.json()
        except Exception:
            return "Invalid JSON response"
        return find_text_recursively(data).strip() or "Empty response"

def sse(data: dict) -> str:
    return f"data: {json.dumps(data, ensure_ascii=False)}\n\n"

async def stream_content(model: str, content: str) -> AsyncIterator[str]:
    created = int(time.time())
    chat_id = f"chatcmpl-{created}"
    yield sse({
        "id": chat_id,
        "object": "chat.completion.chunk",
        "created": created,
        "model": model,
        "choices": [{"index": 0, "delta": {"role": "assistant"}, "finish_reason": None}],
    })
    chunk_size = 200
    for i in range(0, len(content), chunk_size):
        part = content[i : i + chunk_size]
        yield sse({
            "id": chat_id,
            "object": "chat.completion.chunk",
            "created": created,
            "model": model,
            "choices": [{"index": 0, "delta": {"content": part}, "finish_reason": None}],
        })
        await asyncio.sleep(0)
    yield sse({
        "id": chat_id,
        "object": "chat.completion.chunk",
        "created": created,
        "model": model,
        "choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}],
    })
    yield "data: [DONE]\n\n"

@app.post("/v1/chat/completions")
async def chat_router(payload: ChatPayload, request: Request):
    if not payload.messages:
        raise HTTPException(status_code=400, detail="Empty messages")
    user_input = payload.messages[-1].content
    if payload.stream:
        async def gen():
            try:
                content = await forward_to_langflow(user_input)
                async for x in stream_content(payload.model, content):
                    if await request.is_disconnected():
                        return
                    yield x
            except Exception as e:
                logger.exception(e)
        return StreamingResponse(
            gen(),
            media_type="text/event-stream",
            headers={"Cache-Control": "no-cache", "Connection": "keep-alive"},
        )
    content = await forward_to_langflow(user_input)
    created = int(time.time())
    return JSONResponse({
        "id": f"chatcmpl-{created}",
        "object": "chat.completion",
        "created": created,
        "model": payload.model,
        "choices": [{"index": 0, "message": {"role": "assistant", "content": content}, "finish_reason": "stop"}],
    }
)

ВАЖНО: В данном примере реализован упрощенная эмуляция стриминга. Для полноценного Real-time ответа необходимо переписать прокси на асинхронное чтение потока от Langflow.

Если поменяли компоненты или добавили промежуточные шаги, то возможно потребуется адаптировать извлечение результата.

Текущая схема: LibreChat → прокси → Langflow (ждем полный ответ) → имитируем стрим.

83884e65c47e94d0099b699e6ffd2b55.png

Реальный стриминг: LibreChat → прокси → Langflow (stream=true) → читаем SSE чанки → парсим формат Langflow → конвертируем в формат OpenAI SSE → отдаем LibreChat.

1e29193b899b112acc34fb67fefad39f.png

Шаг 2: добавляем правила в Langflow

При помощи такого компонента, как if-else, можно сделать ветвление прописав правила зависящие от входного сообщения. Существуют и другие компоненты: позволяющие более гибко и тонко настраивать роутинг флоу.

Какие правила обычно выносят в Langflow:

  • Умный выбор модели (экономия бюджета), например, простые вопросы — дешёвая/быстрая модель, сложные уже более сильная, а для tool calling — отдельный профиль/модель.

  • Маршрутизация по типу запроса, где можно реализовать классификация интента в виде выбора ветки/flow (суммаризация, Q&A или отчет).

  • Здесь есть единый стиль общения и форматы ответа (системные промпты, тон, шаблоны/JSON‑схемы и валидации).

  • Так называемый чистый вход, где еще до вызова инструментов можно сделать обрезку истории, ограничения размера и нормализацию.

b722936765c332ad87670193170393d2.png

По итогу получается зафикисрованная логика — если запрос от пользователя совпадает со словами «сделай», «сформируй» и т.д то процесс идет по ветке True (ранее созданному флоу из уровня 4), иначе запрос пойдет по ветке False в простую LLM модель (можно выбрать и настроить, как нужно).

Проверяем еще раз сам флоу в langflow:

5a45f3028bf020bdab860b739286bae7.png

Шаг 3: настраиваем связку Langflow ↔ FastAPI прокси

Открываем API access и забираем два ID

Чтобы LibreChat мог вызывать конкретный flow в Langflow через наш прокси, то он должен знать куда отправлять запрос (Flow ID) и в какой входной блок положить текст пользователя (ChatInput ID).

Найти их можно, если открыть API access (в Langflow у flow обычно рядом Share — в верхнем правом углу).

Внутри вы увидите готовый пример запроса.

c6597d3228d97e76273e253d7a0866c8.png

Нам нужно два значения:

  1. Flow ID находится прямо в URL вызова: …/api/v1/run/<FLOW_ID>.

eb8706da2e7afdebae673db9d795994e.png

  1. ChatInput ID находится в tweaks как ключ: "ChatInput-XXXXX": { "input_value": "..." }.

ВАЖНО: ChatInput ID может не отображаться, пока вы не включите/не настроите Input Schema для flow.

  1. В правом верхнем углу нажмите Input Schema.

  2. Включите схему и выберите:

    - Input: ваш блок Chat Input,

    - Output: ваш блок Chat Output (или нужный output-компонент).

  3. Сохраните изменения (Apply/Save).

  4. Снова откройте API access после этого в примере запроса появится секция tweaks, где и будет нужный ID.

68e9b752d4ea74d5732cedfc968646c8.png

Создаём API Key в Langflow (рекомендуется)

Если Langflow доступен не только вам (или вы просто хотите нормальную защиту API), включите доступ по ключу:

  1. Langflow → Settings → API Keys → Create.

  2. Скопируйте ключ.

  3. Вставьте его в .env как LANGFLOW_API_KEY.

d57a1075ade24b35ec2a49263265c139.png

Прокси автоматически начнет отправлять его в заголовке: x-api-key: <ваш ключ>.

После правок .env перезапустите только прокси:

docker compose up -d --no-deps --build fastapi-proxy

Шаг 4: обновляем docker-compose.yml

services:
  ...
  fastapi-proxy:
    build:
      context: .
      dockerfile: Dockerfile.fastapi
    restart: unless-stopped
    ports:
      - "8001:8001"
    environment:
      LANGFLOW_BASE_URL: http://langflow:7860
      LANGFLOW_FLOW_ID: <ВАШ_FLOW_ID_ИЗ_LANGFLOW>
      LANGFLOW_INPUT_ID: <ВАШ_CHATINPUT_ID_ИЗ_LANGFLOW>
      LANGFLOW_API_KEY: ${LANGFLOW_API_KEY}
    networks:
      - ai-network

  app:
...
    depends_on:	
      fastapi-proxy:
        condition: service_started
    environment:
      LANGFLOW_API_KEY: ${LANGFLOW_API_KEY}
...

Шаг 5: обновляем librechat.yaml

Добавьте новый endpoint для FastAPI прокси:

...
endpoints:
  custom:
...
# Ваше название модели
    - name: "Langflow model" 
      apiKey: "fastapi-proxy"
      baseURL: "http://fastapi-proxy:8001/v1"
      models:
        default:
# Имя модели, которое будет отображаться в LibreChat
          - "Langflow model" 
      fetch: false
      titleConvo: true
      summarize: false
...

Шаг 6: перезапускаем сервисы

# Перезапускаем все сервисы для применения изменений
docker compose up -d --build
# Проверяем логи
docker compose logs -f app fastapi-proxy

Шаг 7: проверяем в LibreChat

В LibreChat выберите endpoint Langflow model (тот, что смотрит на fastapi-proxy).

a36d032fb8b9c2b5a40c27ac1cb07e1a.png

Пишем в чат наш запрос и через пару мгновений получаем нужный нам ответ.

a7c9a5b5f0a5f34d80c94c25a9fb3dad.png

Если ответ пришел — значит всё работает — поздравляю)

Сравнение подходов

Чтобы окончательно определиться с выбором архитектуры, давайте сопоставим два наиболее продвинутых метода интеграции.

Критерий

Уровень 4 (MCP сервер)

Уровень 5 (FastAPI прокси)

UX

Нужно выбрать модель + MCP сервер

Только выбор модели

Простота для пользователя

Средняя (2 шага)

Высокая (1 шаг)

Стандартизация

✅ MCP — открытый стандарт

❌ Кастомное решение

Контроль над форматом

❌ Ограничен MCP протоколом

✅ Полный контроль

Поддержка

Нет дополнительного кода

Нужно поддерживать прокси

Кастомизация

❌ Сложно

✅ Легко (middleware, логи, rate limiting)

Подходит для

Технические пользователи

Конечные пользователи

Как итог: что мы получили на Уровне 5

b0c00786fa8e70629a731dca2d057dad.jpeg

На этом уровне Langflow подключается в LibreChat как обычная модель через OpenAI-совместимый FastAPI-прокси. Для пользователя это один выбор в списке моделей, а дальше запрос уходит в прокси и запускает нужную логику во flow.

Прокси даёт точку контроля: можно сделать роутинг по интенту, переключать модели под задачу, добавить политики безопасности (rate limiting, фильтрация, валидация входа) и нормализовать формат ответа. При этом вся логика находится в Langflow. Новые ветки, источники и проверки добавляются без изменений конфигурации LibreChat.

Минус тоже есть, например, появляется дополнительный сервис, который нужно поддерживать и донастраивать OpenAI-совместимый формат, корректный SSE-стриминг, таймауты/отмену запросов, логирование и безопасность.

Быстрый выбор: что брать под задачу

Вам нужно

Берите

Почему

Просто чат + иногда открыть файл/папку и задать вопрос

LibreChat + MCP

минимум сервисов, быстрый старт

Процесс/пайплайн: шаги, проверки, ветвления, повторяемость

Langflow + MCP

Логика зафиксирована во flow, меньше

UX LibreChat + сложная логика, которую хочется держать централизованно

LibreChat + Langflow + MCP

UI + оркестрация + инструменты

Подключить Langflow как обычную модель в LibreChat и иметь место для правил/роутинга

FastAPI прокси

Нативное подключение LibreChat + контроль входа/выхода + политики

Как масштабировать систему?

Главная идея: инструмент = MCP‑сервер. Хотите добавить новый источник данных — добавляете/пишете MCP‑сервер и подключаете его либо в LibreChat (если LibreChat оркестратор), либо в Langflow (если Langflow оркестратор).

На практике один и тот же стек можно использовать в трех режимах, здесь отличается не «логика», а подготовка окружения и безопасность.

№1. Полностью локально. Подходит для личных документов и задач, где важна приватность: отчеты по Excel, поиск по локальной базе заметок/документов, сравнение файлов и версий, разбор логов/дампов, генерация сводок.

№2. Закрытая/безопасная сеть (корпоративный контур, без интернета). Можно использовать с Jira/Confluence (если доступны внутри), отчеты по ролевым моделям/матрицам доступов, анализ инцидентов, обработка выгрузок, унификация ответов/шаблонов.

№3. Онлайн/гибрид (часть источников снаружи). Подходит для AI ассистентов: почта/календарь, внешние API, задачи/трекеры, умные уведомления.

Но важно заранее донастроить безопасность: TLS/reverse proxy, аутентификацию, ограничение прав инструментов и хранение секретов.

Вывод

В статье мы прошли путь от простого чат-бота к системе, где роли разделены. LibreChat отвечает за интерфейс и работу с диалогом, MCP дает единый способ подключать инструменты, а Langflow нужен там, где важны шаги, ветвления, проверки и повторяемость результата.

Файловая система, это лишь минимальный пример, чтобы показать принцип. Дальше по той же схеме подключаются HTTP-сервисы, базы данных и внутренние API. Для этого добавляется нужный MCP-сервер и встраивается в цепочку там, где у вас находится оркестрация либо в LibreChat, либо в Langflow. А на последних уровнях появляется стандартный API-вход, поэтому собранную логику можно использовать не только через чат, но и как сервис для веб/мобайла или внутренних автоматизаций.

Если вы уже собирали похожие связки или решали иначе, поделитесь в комментариях: интересно сравнить разные подходы и кейсы.

Подписывайтесь на Телеграм-канал Alfa Digital — там мы постим новости, опросы, видео с митапов, краткие выжимки из статей, иногда шутим.

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  • 15.06.26 16:41 Louane Mercier

    It is crucial to act quickly and consult a reputable, experienced recovery specialist who will support you throughout the entire recovery process. You must provide them with transaction evidence, scammer information, and any other relevant details that could aid the investigation. With this data, the experts can trace and attempt to recover your funds from the scammers' concealed accounts or wallets. R£sQprofirm company offers recovery assistance with no upfront fees. Contact them via Telegram (@ResQprofirm), WhatsApp (+19852969146), or email ([email protected]).

  • 15.06.26 16:45 Andrés Montero

    I’m open about my experience with Bitcoin investment and losing money to scammers. That said, it is possible to recover stolen Bitcoin. I used to think recovery was impossible because that’s what I had been told. But last October, I fell for a forex scam promising extremely high returns and ended up losing nearly $87,600. After searching for help for a month, I came across a Reddit article about recovering stolen cryptocurrency. I reached out to the contact provided: [email protected] and WhatsApp +19852969146. I was scared and skeptical, having heard many bad stories, but I decided to give them a try. To my amazement, I got all my stolen Bitcoin back within a very short time. I’m not sure if I’m allowed to post links here, but you can reach out to them if you also need help.

  • 15.06.26 16:48 Olivia Sørensen

    Several months ago, investing in Bitcoin proved to be one of my most lucrative endeavors. I achieved considerable profits across multiple platforms and felt a strong sense of accomplishment. Unfortunately, the situation deteriorated when I inadvertently engaged with a fraudulent Bitcoin platform. This entity swindled me out of $92,000 USD, refused to honor my withdrawal requests, and persistently demanded further deposits. Fortunately, I encountered (R£SQPRO FIRM) online. After reporting my case to them, they acted promptly and effectively recovered my lost Bitcoin. I am sincerely grateful for their professionalism and continuous assistance. Contact: ResQprofirm AT aol.com, Telegram @resqprofirm, WhatsApp +1 9 8 5 2 9 6 9 1 4 6.

  • 15.06.26 16:51 Viljar Yohannes

    I'm willing to share my experience with Bitcoin investment and losing money to scammers. But yes, recovering stolen Bitcoin is possible. I never believed in Bitcoin recovery myself, because I was told it couldn't be done. Then, last October, I fell for a forex scam that promised unrealistically high returns, and I ended up losing nearly $70,000. I searched for help for about a month until I finally found a Reddit article about recovering stolen cryptocurrency. I reached out to the contact mentioned: [RESQPROFIRM [at] AOL DOT com] and [WhatsApp +19852969146]. I was scared and skeptical because I'd heard horror stories, but I decided to give them a try. To my surprise, I got all my stolen Bitcoin back from the scammers in a very short time. I'm not sure if I'm allowed to post links here, but you can contact them if you need help too.

  • 15.06.26 16:58 Guimar da Rosa

    Withdrawal troubles shouldn’t stress you out. I faced a similar problem, and this firm stepped in and recovered my funds. Their support truly mattered. Contact them: [ResQProFirm @aol.com] telegram @resqprofirm, WhatsApp: <+198> <5296> <9146>.

  • 15.06.26 17:03 Andrea Escalante

    If withdrawals keep getting denied, stay calm. I went through the same, and this firm helped me recover everything. Their assistance was outstanding. Contact: [[email protected]], Telegram: ResQprofirm, WhatsApp: <+198> <5296> <9146>. Withdrawal troubles shouldn’t

  • 16.06.26 11:40 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.06.26 11:43 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.06.26 13:37 Felix Steve

    MY CRYPTO WAS STOLEN – HERE'S HOW I GOT IT BACK I'm Felix Steve from Canada, and I lost $115,000 USDC to a fraudulent broker who locked me out of my wallet. After sleepless nights, a friend told me about RESQPROFIRM Recovery Service. I sent them my wallet addresses, transaction history, and chat logs. Their team used blockchain tracking to trace the stolen funds, identified the scammer's wallet, and froze the assets before they could be moved. Within 24 hours, most of my crypto was recovered. I can't thank them enough. If you need help, reach out via WhatsApp: +19852969146, email: [email protected], or TG: @resqprofirm.

  • 16.06.26 13:45 Wills ben

    SUCCESSFUL CRYPTO SCAM RECOVERY – HOW I REGAINED ACCESS TO MY LOST WALLET My name is Felix Steve, and I'm from Canada. I'm sharing my story to help others who have fallen victim to crypto fraud. A few months ago, I was lured into a fake investment scheme promoted by a broker company. With Bitcoin prices climbing, I invested heavily—only to lose $115,000 USDC when the broker locked me out of my wallet and assets. It was a harrowing experience that left me sleepless and desperate. Crypto scams are on the rise, often involving bogus trading platforms, phishing, and misleading promises. In my search for help, a fellow crypto enthusiast recommended RESQPROFIRM Recovery Service, which specializes in recovering lost or stolen funds. After checking their reviews, I reached out and supplied all the evidence—wallet addresses, transaction records, and communication logs. Their team responded immediately and launched an investigation. Using advanced blockchain tracking, they traced the stolen funds, pinpointed the scammer's wallet, and worked with authorities to freeze the assets in time. Remarkably, within just 24 hours, RESQPROFIRM recovered the bulk of my stolen crypto. I was overwhelmed with relief and gratitude. Their professionalism, transparency, and steady communication made all the difference during a very dark period. If you've been scammed, I wholeheartedly recommend contacting them via WhatsApp: +19852969146, email: [email protected], or Telegram: @resqprofirm.

  • 18.06.26 13:31 Noemi Bernard

    I never expected such outstanding results. The outcome far exceeded my expectations, and I am extremely satisfied with the successful recovery of my stolen funds totaling $49,360 from my blockchain wallet. I hold this team in the highest regard. Without a doubt, they are among the most dedicated professionals in the field of fund recovery. Keep up the exceptional work! Email: [email protected] WhatsApp: +1 985 296 9146

  • 18.06.26 13:35 Carter Morris

    My experience improved significantly thanks to ResQprofirm's expert assistance and attentive customer care. Their professionalism was evident every step of the way they were able to track and recover my stolen crypto $88,360, email: [email protected], WhatsApp +19852969146.

  • 18.06.26 13:40 Kuybida Andriyiv

    I recovered my $232,000 refund through the assistance of [email protected] and WhatsApp +19852969146. Their guidance was very helpful.

  • 20.06.26 14:57 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 20.06.26 14:57 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 21.06.26 11:09 Maurizio Rolland

    I would like to express my sincere appreciation to RESQPRO FIRM for their outstanding assistance in helping victims of online fraud. Many scammers deceive investors by blocking withdrawals and continuously demanding additional deposits, making the loss of hard-earned funds a painful experience. Fortunately, RESQPRO FIRM provides support to individuals seeking to recover funds lost to fraudulent online schemes. Contact: Email: RESQPRO FIRM at Gmail Telegram: RESQPROFIRM, [email protected], WhatsApp: +1 985 296 9146

  • 21.06.26 11:13 Buse Fahri

    It is important for more people to stand together in the fight against online fraud. Those who target innocent individuals especially vulnerable people such as seniors should be held fully accountable for their actions. Every effort to raise awareness and support victims makes a meaningful difference. The team at RESQPRO FIRM is committed to helping expose fraudulent schemes and assisting those affected by online scams. Their dedication, persistence, and passion for protecting victims are truly commendable. I sincerely appreciate the hard work and commitment shown toward this mission. Together, we can continue to educate others, support victims, and work toward a safer online environment for everyone. Contact Information: Telegram: RESQPROFIRM WhatsApp: +1 985 296 9146 Email: [email protected], [email protected]

  • 21.06.26 11:16 علیرضا گلشن

    The successful recovery of my stolen funds, totaling $1,310,000, would not have been possible without your unwavering support, dedication, and tireless efforts. I am truly grateful for the opportunity to work with such a skilled and professional team. From the very beginning, I had confidence in your ability to handle this challenging situation, and you exceeded my expectations by delivering remarkable results. Your expertise, persistence, and commitment throughout the process were exceptional. I encourage you to continue maintaining the high standards of professionalism and excellence that distinguish your work. You exemplify the qualities of a trustworthy, dedicated, and hardworking professional, and your efforts deserve sincere recognition and appreciation. Contact: Email: [email protected], [email protected], Telegram: Resqprofirm WhatsApp: +1 985 296 9146

  • 22.06.26 21:51 kimberlyhebert786

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 22.06.26 21:51 kimberlyhebert786

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 24.06.26 01:25 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +1603512144 8| Telegram: @Fundsretriever

  • 24.06.26 01:27 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +16035121448 | Telegram: @Fundsretriever

  • 24.06.26 01:28 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +16035121448 | Telegram: @Fundsretriever.

  • 24.06.26 01:58 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 01:58 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 14:16 Universina da Mota

    Becoming a victim of an investment scam is never anyone's intention it often happens because fraudsters exploit trust and a lack of awareness. I would like to express my sincere gratitude to the dedicated team at ResQpro for their professionalism and commitment to helping victims of online investment fraud. Their efforts in assisting individuals with the recovery of stolen assets and holding scammers accountable are truly commendable. If you need assistance or would like to learn more, you can contact them through: Email: [email protected] Alternative Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 14:21 Elizabeth Thompson

    If you believe you have been the victim of an investment scam, it is important to act promptly and gather all relevant information. Keep records of transaction receipts, wallet addresses, communication logs, account details, and any other evidence related to the incident. Providing accurate documentation can help investigators, financial institutions, legal professionals, or recovery specialists review your case and determine what options may be available. Be cautious of anyone who guarantees the recovery of lost funds or requests large upfront payments. For additional information, you may contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 15:33 Júlia Castro

    If you have fallen victim to an investment scam, it is important to act quickly and gather all available evidence related to the incident. This may include transaction records, wallet addresses, screenshots of conversations, emails, account details, and any information connected to the individuals or entities involved. Having complete documentation can help professionals assess your situation and explore possible recovery options. Always exercise caution when seeking assistance and carefully verify the credentials of any service provider before proceeding. For further information, you may contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 22:01 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 22:01 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 25.06.26 21:13 Emilie Safi

    A fraudulent investment scheme operated by BTCMining.limited functions as a fake return scam. In this setup, scammers lure victims with false promises of high returns. Through manipulative tactics, they gain individuals' trust and convince them to invest, ultimately leading to financial loss. If you have ever faced a cyber threat or fallen victim to an online crypto scam and need to reach the authorities, I recommend contacting [email protected], [email protected], WhatsApp +19852969146, telegram @resqprofirm. They are a legitimate team that helps victims of online crypto scams using advanced tools.

  • 25.06.26 21:25 Emilie Safi

    So I ended up losing $38,000 to this platform. At first, they kept asking me to put in more money so I could get into my portfolio. I did that, but then they wouldn’t let me withdraw anything—just kept asking for more deposits. It got way too suspicious, so I stopped. I found this company called ResQProfirm on Google and told them what happened. They got in touch, asked me to walk them through everything, and I gave them all the proof I had. They did an amazing job tracking down my money and getting it back. Big thanks to them at [email protected] and on WhatsApp at +19852969146. Please be careful out there and always research before investing.

  • 26.06.26 01:04 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 26.06.26 01:04 robertalfred175

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  • 07.07.26 18:00 robertalfred175

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  • 07.07.26 18:01 robertalfred175

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  • 16.07.26 21:38 patricialovick86

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  • 19.07.26 19:53 kimberlyhebertt6877

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  • 19.07.26 19:53 kimberlyhebertt6877

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  • 19.07.26 19:54 kimberlyhebertt6877

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