Ant Design MCP Server (Python)

This Model Context Protocol (MCP) server fetches and structures Ant Design v4 (Chinese) component documentation into JSON so AI agents can perform analysis.

Features

• Fetch overview page and individual component pages.
• Extract component metadata: name, description, examples.
• Classify API tables automatically (props / events / methods / other).
• Cache fetched HTML locally.
• Export all components into a single JSON file.
• MCP tools exposed over JSON-RPC stdio.

Tools

• list_components(force?)
• get_component(name, force?)
• search_components(query)
• export_all(force?, filepath?)

Environment Setup

Choose one method:

venv (built-in)

python -m venv .venv
source .venv/bin/activate
pip install -r src/antd_mcp/requirements.txt

pyenv + venv

brew install pyenv
pyenv install 3.11.8
pyenv local 3.11.8
python -m venv .venv
source .venv/bin/activate
pip install -r src/antd_mcp/requirements.txt

Conda

conda create -n antd-mcp python=3.11 -y
conda activate antd-mcp
pip install -r src/antd_mcp/requirements.txt

Run Server

python -m antd_mcp
# or
python src/antd_mcp/server.py

JSON-RPC Examples

# List tools
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | python -m antd_mcp

# List components
echo '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"list_components","arguments":{}}}' | python -m antd_mcp

# Get one component
echo '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"get_component","arguments":{"name":"Button"}}}' | python -m antd_mcp

# Search components
echo '{"jsonrpc":"2.0","id":4,"method":"tools/call","params":{"name":"search_components","arguments":{"query":"form"}}}' | python -m antd_mcp

# Export all component data
echo '{"jsonrpc":"2.0","id":5,"method":"tools/call","params":{"name":"export_all","arguments":{}}}' | python -m antd_mcp

Export Output

Default file: src/antd_mcp/exports/antd_components_all.json Structure:

{
  "generated_at": <timestamp>,
  "count": <number_of_components>,
  "components": [
    {
      "name": "Button",
      "title": "Button 按钮",
      "intro": [...],
      "props": [...],
      "events": [...],
      "methods": [...],
      "other_tables": [...],
      "table_summary": {"props":1,"events":0,...},
      "examples": [...],
      "source_url": "https://4x.ant.design/..."
    }
  ]
}

TODO / Roadmap

• More precise table classification rules (column semantics).
• Parallel fetching & retry with backoff.
• Version / language (en vs cn) selection.
• CLI wrapper.
• Optional rate limiting.

License

MIT (add if needed)

安装 (发布后)

pip install antd-mcp-server

安装后命令行入口：

antd-mcp --once '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

本地构建与发布

# 构建
python -m build
# 上传到 PyPI
python -m twine upload dist/*

供 AI 工具使用的 mcp.json 示例

{
  "version": 1,
  "servers": {
    "antd_mcp": {
      "command": "antd-mcp",
      "args": [],
      "timeoutSeconds": 60
    }
  }
}

环境变量

• ANTD_MCP_CACHE_DIR 自定义缓存目录。
• MCP_PRETTY / MCP_COLOR 控制输出格式。

版本

当前版本: 0.1.0

antd-mcp