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Larks

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Enables fetching document content from Lark Suite using OAuth authentication, with support for streamable HTTP transport and Docker deployment.

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Описание

Enables fetching document content from Lark Suite using OAuth authentication, with support for streamable HTTP transport and Docker deployment.

README

Python implementation of the Larks MCP server using FastMCP, converted from Node.js/TypeScript.

Installation

cd python
pip install -r requirements.txt

Running the Server

Option 1: Using Docker Compose (Recommended)

# Copy .env.example to .env and fill in your credentials
cp .env.example .env
# Edit .env with your credentials

# Build and start the container
docker compose up -d

# View logs
docker compose logs -f

# Stop the container
docker compose down

Option 2: Using .env file (Local)

# Copy .env.example to .env and fill in your credentials
cp .env.example .env
# Edit .env with your credentials

# Run the server
python server.py

Option 3: Using environment variables

# Set environment variables
export LARKS_CLIENT_ID=your_client_id
export LARKS_CLIENT_SECRET=your_client_secret
export MCP_PORT=48080

# Run the server
python server.py

Note: Environment variables take precedence over .env file values.

Configuration

The server loads configuration from .env file and environment variables (env vars take precedence):

  • LARKS_CLIENT_ID: OAuth app ID (required)
  • LARKS_CLIENT_SECRET: OAuth app secret (required)
  • LARKS_REDIRECT_URI: OAuth redirect URI (default: http://localhost:48080/oauth/callback)
  • LARKS_BEARER_TOKEN: Direct bearer token (optional, fallback if OAuth not used)
  • LARKS_DOMAIN: OAuth domain (default: https://open.larksuite.com)
  • LARKS_API_DOMAIN: API domain (default: https://open.larksuite.com)
  • MCP_PORT: Server port (default: 48080)
  • MCP_HOST: Server host (default: 0.0.0.0)

Cursor MCP Configuration

Use streamable HTTP transport:

{
  "mcpServers": {
    "larks-docs": {
      "transport": "streamableHttp",
      "url": "http://localhost:48080/mcp"
    }
  }
}

Start the server separately:

python server.py

Docker

Building the Image

docker build -t larks-mcp-python .

Running with Docker Compose

# Start the service
docker compose up -d

# View logs
docker compose logs -f larks-mcp-python

# Stop the service
docker compose down

Environment Variables in Docker

You can provide environment variables in several ways:

  1. Via docker-compose.yml (recommended for Docker):

    environment:
      - LARKS_CLIENT_ID=your_client_id
      - LARKS_CLIENT_SECRET=your_client_secret
    
  2. Via .env file (mounted as volume):

    volumes:
      - ./.env:/app/.env:ro
    
  3. Via host environment variables:

    export LARKS_CLIENT_ID=your_client_id
    export LARKS_CLIENT_SECRET=your_client_secret
    docker compose up -d
    

Features

  • ✅ Streamable HTTP transport (plain HTTP POST, no SSE)
  • ✅ OAuth authentication flow
  • ✅ Document content fetching
  • ✅ Same API as Node.js version
  • ✅ Environment variable and .env file configuration
  • ✅ Automatic token refresh handling
  • ✅ Docker support with docker-compose

Differences from Node.js Version

  • Uses FastMCP for easier server setup
  • Async/await pattern throughout
  • Python-native HTTP client (httpx)
  • Same functionality, cleaner Python code
  • Uses python-dotenv for .env file support

from github.com/hpower2/larks-mcp

Установка Larks

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/hpower2/larks-mcp

FAQ

Larks MCP бесплатный?

Да, Larks MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Larks?

Нет, Larks работает без API-ключей и переменных окружения.

Larks — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Larks в Claude Desktop, Claude Code или Cursor?

Открой Larks на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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