wger 健身管理助手

https://<你的用户名>-<space名>.hf.space/sse

{ "mcpServers": { "wger": { "url": "https://<你的用户名>-<space名>.hf.space/sse" } } }

from fastmcp import Client async with Client("https://<user>-<space>.hf.space/sse") as client: tools = await client.list_tools() result = await client.call_tool("search_exercises", {"term": "bench", "language": "English", "limit": 5})

pip install -r requirements.txt python run_mcp_server.py --port 8100 # 默认监听 0.0.0.0:8100，SSE 端点 http://localhost:8100/sse

- /api/v1/会被挑战拦截，程序化访问会拿到 PoW 挑战页而非数据
- /api/v2/被显式放行（供移动端与 API 客户端使用）

因此本服务器默认使用 v2 API。若你自托管 wger 且未启用 Anubis，可将WGER_API_VERSION改为v1。

wger-mcp-server/ ├── run_mcp_server.py # 启动器（SSE 模式） ├── wger_mcp_server/ │ ├── __init__.py # FastMCP 实例 + 工具注册 │ ├── config.py # 配置（URL/Token/语言映射） │ ├── client.py # 异步 HTTP 客户端 + 缓存 │ ├── tools_exercises.py # 动作相关工具 │ ├── tools_nutrition.py # 营养/食材工具 │ └── tools_tracking.py # 登录类工具（需 Token） ├── requirements.txt ├── Dockerfile # HF Spaces 部署 └── .env.example

MIT。wger 动作数据遵循 CC-BY-SA 4.0（来自 wger 社区）。

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