# via pip
pip install lark-mcp-server

# or via uvx (no install needed)
uvx lark-mcp-server

# Install lark-cli & login
lark-cli auth login

{
  "mcpServers": {
    "lark": {
      "command": "uvx",
      "args": ["lark-mcp-server"]
    }
  }
}

# Your AI agent can now:
# - Monitor and reply to messages automatically
# - Send batch notifications to group chats
# - Check meeting schedules and notify attendees

# Connect Feishu with other tools via MCP:
# - Read Feishu messages → process with AI → write to database
# - Sync calendar events to your task manager
# - Automate HR onboarding workflows

# Feishu + GitHub + Slack = automated workflow
# All connected through standard MCP protocol

lark-mcp-server/
├── pyproject.toml          # Python package config
├── src/lark_mcp_server/
│   ├── server.py           # MCP server entry, tool registration
│   └── client.py           # LarkClient — lark-cli subprocess wrapper
└── tests/
    └── test_client.py      # Integration tests