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Formula One MCP Server

@MCP-Mirror

About Formula One MCP Server

Mirror of

Basic information

Category

Other

License

MIT license

Runtime

python

Transports

stdio

Publisher

MCP-Mirror

Config

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"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Formula One MCP Server?

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.

How to use Formula One MCP Server?

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.

Key features of Formula One MCP Server

  • Access the complete F1 race calendar for any season
  • Detailed data about specific Grand Prix events
  • Comprehensive session results (race, qualifying, practice)
  • Driver information and performance analysis
  • Telemetry data for specific laps
  • Championship standings for drivers and constructors

Use cases of Formula One MCP Server

  • Get the race schedule for a chosen F1 season
  • Retrieve detailed information about an upcoming Grand Prix
  • Analyze a driver’s lap‑time performance in a specific session
  • Compare multiple drivers’ performances in the same session
  • Fetch telemetry data for in‑depth lap analysis

FAQ from Formula One MCP Server

What dependencies does it require?

Python libraries: anyio, click, fastf1, mcp, numpy, pandas, and uvicorn.

Does it require an API key or external authentication?

No. The server relies on FastF1 to fetch publicly available F1 data and does not require any API key or authentication.

How can I run it with SSE transport for web apps?

Use uvx f1-mcp-server --transport sse --port 8000 to enable Server‑Sent Events mode on port 8000.

What data source does it use?

Underlying data is provided by FastF1, an open‑source Python package for accessing Formula 1 telemetry, timing, and event data.

Is it compatible with Claude Desktop or similar MCP clients?

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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