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fathom-mcp

by veer-mehta
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fathom-mcp

RAG-система для документации: обход сайта документации → разбиение на чанки и локальная генерация эмбеддингов (HuggingFace) → хранение в Postgres+pgvector → семантический поиск через MCP-сервер, REST API и веб-интерфейс.

Архитектура

flowchart LR
    A[Browser] --> B[API Server]
    B --> D[Web UI]
    B --> C[(Postgres + pgvector)]
    B --> G[Ingestion Pipeline]
    G --> H[Scraper Subprocess]
    G --> C
    I[AI Client<br/>Claude, Cursor] -->|MCP over stdio| F[MCP Server]
    F --> C

Related MCP server: MCPDocSearch

Быстрый старт

git clone ... fathom-mcp && cd fathom-mcp
python -m venv .venv && source .venv/bin/activate
pip install -e ".[local]"
docker compose up -d
cp .env.example .env              # set LLM_API_KEY
.venv/bin/docs-mcp-api            # http://127.0.0.1:8000

npm (без клонирования)

npx @fathom-mcp/server            # first run installs ~5GB deps, then instant
npx @fathom-mcp/server --api      # REST API + web UI

MCP-инструменты

add_documentation · search_documentation · list_sources · get_ingest_status · add_local_docs

REST API

Endpoint

Описание

GET /search?q=...

Семантический поиск

GET /sources

Индексированные источники

POST /upload

Загрузка файлов

POST /upload-folder

Индексация локальной папки

GET /llm-chat?q=...

Чат с документацией

GET /about

Информация о системе

OpenCode

Добавьте в ~/.config/opencode/opencode.jsonc:

{
  "mcp": {
    "fathom-mcp": {
      "type": "local",
      "command": ["npx", "-y", "@fathom-mcp/server"]
    }
  }
}

Конфигурация

~/.fathom-mcp/.env — укажите EMBEDDING_PROVIDER=api и EMBEDDING_API_KEY для удалённых эмбеддингов (Jina, OpenAI и т. д.) или оставьте local для HuggingFace.

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