MCP-F1analisys

Overview

MCP-F1Analisys is a specialized MCP server that enables access to Formula 1 racing analytics data through LLM interfaces like Claude. The server provides a comprehensive set of tools for analyzing F1 performance metrics including track dominance, lap times, team performance, and driver statistics. It connects to the FastF1 data source to provide insights into both official sessions and pretesting data.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• track_dominance

  Analyze track dominance data for F1 sessions

  Try:Show track dominance for the Monaco GPTry:Compare track dominance between qualifying and race
• top_speed

  Get top speed information for F1 drivers

  Try:What was the top speed in the last race?Try:Compare top speeds between Hamilton and Verstappen
• lap_time_average

  Calculate average lap times for F1 sessions

  Try:What's the average lap time for this weekend?Try:Compare average lap times between Red Bull and Ferrari
• lap_time_distribution

  Analyze lap time distribution patterns

  Try:Show the distribution of lap times in qualifyingTry:Analyze lap time distribution for the sprint race
• team_performance

  Evaluate F1 team performance metrics

  Try:How did Mercedes perform in the last race?Try:Compare team performances across the season
• fastest_laps

  Retrieve fastest lap information from F1 sessions

  Try:Who had the fastest lap in the last race?Try:Show all fastest laps this season
• race_position_evolution

  Track position changes during F1 races

  Try:Show position evolution for the Monaco GPTry:Compare how Alonso and Sainz moved through the field
• fastest_drivers_each_compound

  Identify fastest drivers for each tire compound

  Try:Who was fastest on soft tires in qualifying?Try:Show best lap times by tire compound for the weekend
• comparative_lap_time

  Compare lap times between different drivers

  Try:Compare Verstappens lap times with RicciardosTry:Show lap time comparisons between Ferrari drivers
• throttle_usage

  Analyze throttle usage patterns in F1

  Try:Compare throttle usage between different cornersTry:Show throttle efficiency data for the last race
• braking_usage

  Evaluate braking performance and usage

  Try:Analyze braking patterns at the first cornerTry:Compare braking efficiency between drivers
• long_runs

  Analyze long run performance in F1 practice sessions

  Try:Compare long run pace between teamsTry:Show long run simulation data for the race

Comparable tools

Installation

pip install mcp-f1analisys

{
  "mcpServers": {
    "mcp-f1analisys": {
      "command": "python",
      "args": [ "-m", "mcp-f1analisys" ]
    }
  }
}

mcp dev .\server.py

FAQ

What data sources does this MCP server use?

The server uses data from FastF1, a Python library that provides access to official Formula 1 timing and telemetry data.

Is this MCP server officially affiliated with Formula 1?

No, this is an unofficial project and is not associated in any way with Formula 1 companies or their licensing entities.

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