What dependencies does it require?
Python libraries: anyio, click, fastf1, mcp, numpy, pandas, and uvicorn.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"Machine-To-Machine_f1-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@Machine-To-Machine/f1-mcp-server",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
A Model Context Protocol (MCP) server that provides Formula One racing data. It exposes tools for querying event schedules, driver information, telemetry data, and race results, making F1 data accessible to AI assistants and developers via the MCP standard.
Install via uv add f1-mcp-server or pip install f1-mcp-server. Run in standard I/O mode with uvx f1-mcp-server or in SSE transport mode with uvx f1-mcp-server --transport sse --port 8000. The server exposes tools such as get_event_schedule, get_driver_info, and compare_drivers for querying F1 data.
Python libraries: anyio, click, fastf1, mcp, numpy, pandas, and uvicorn.
No. The server relies on FastF1 to fetch publicly available F1 data and does not require any API key or authentication.
Use `uvx f1-mcp-server --transport sse --port 8000` to enable Server‑Sent Events mode on port 8000.
Underlying data is provided by FastF1, an open‑source Python package for accessing Formula 1 telemetry, timing, and event data.
Yes. It can be installed for Claude Desktop automatically via Smithery with the command `npx -y @smithery/cli install @Machine-To-Machine/f1-mcp-server --client claude`.
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