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veer-mehta

fathom-mcp

by veer-mehta
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fathom-mcp

Sistema RAG para documentación: rastrea un sitio de documentación → fragmenta y genera embeddings localmente (HuggingFace) → almacena en Postgres+pgvector → búsqueda semántica mediante servidor MCP, API REST e interfaz web.

Arquitectura

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

Inicio rápido

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 (sin necesidad de clonar)

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

Herramientas MCP

add_documentation · search_documentation · list_sources · get_ingest_status · add_local_docs

API REST

Endpoint

Descripción

GET /search?q=...

Búsqueda semántica

GET /sources

Fuentes indexadas

POST /upload

Subir archivos

POST /upload-folder

Indexar una carpeta local

GET /llm-chat?q=...

Chat con la documentación

GET /about

Información del sistema

OpenCode

Añade a ~/.config/opencode/opencode.jsonc:

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

Configuración

~/.fathom-mcp/.env — establece EMBEDDING_PROVIDER=api + EMBEDDING_API_KEY para embeddings remotos (Jina, OpenAI, etc.), o déjalo como local para HuggingFace.

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