What dependencies does it require?
Python libraries: anyio, click, fastf1, mcp, numpy, pandas, and uvicorn.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Machine-To-Machine_f1-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@Machine-To-Machine/f1-mcp-server",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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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