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🏎️ MCP Server F1Analisys

@Maxbleu

MCP server for F1 Analysis API

Overview

What is 🏎️ MCP Server F1Analisys?

A Model Context Protocol (MCP) server for interacting with F1Analisys through LLM interfaces like Claude. It provides Formula 1 data analysis tools for enthusiasts and analysts who have Claude installed on their system.

How to use 🏎️ MCP Server F1Analisys?

Install the package via pip (pip install mcp-f1analisys), then add the server configuration to Claude’s desktop config file (claude_desktop_config.json) with the command python -m mcp-f1analisys. Alternatively, you can install directly with mcp install .\server.py.

Key features of 🏎️ MCP Server F1Analisys

  • Track dominance analysis for official and pre-testing sessions
  • Top speed, lap time average, and distribution tools
  • Team performance and fastest laps analysis
  • Race and sprint position evolution tracking
  • Comparative lap times, throttle, and braking usage
  • Long runs and fastest drivers per compound

Use cases of 🏎️ MCP Server F1Analisys

  • Analyzing driver and team performance across sessions
  • Comparing lap times and tire compound performance
  • Visualizing race position changes over time
  • Studying throttle and braking patterns for strategy insights
  • Evaluating long-run pace and consistency

FAQ from 🏎️ MCP Server F1Analisys

Do I need Claude to use this server?

Yes, you must have Claude installed on your system to interact with this MCP server.

How do I install the server?

Run pip install mcp-f1analisys to install the package from PyPI.

Where do I configure the server in Claude?

Add the server entry to Claude’s claude_desktop_config.json file. On Windows the path is %APPDATA%/Claude/, on Linux it’s ~/Library/Application Support/Claude/.

What tools are provided?

Tools include track dominance, top speed, lap time average, lap time distribution, team performance, fastest laps, race position evolution, fastest drivers per compound, comparative lap time, throttle usage, braking usage, and long runs.

Can I test the server locally?

Yes, use the MCP Inspector with the command mcp dev .\server.py.

What is the license?

This project is licensed under the MIT License.

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