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Query Formula 1 telemetry and strategy data from 2018 onward with AI.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fastf1-mcp" yet — see the docs or source repo.
Load the 2023 Monaco Grand Prix race session. Analyze the pace differences between Verstappen and Alonso, comparing lap times by stint, tire usage, and pit strategy, then summarize who was faster in each phase.
A stint-by-stint comparison based on real lap times, tires, and pit data, with clear conclusions on pace differences.
Load the 2022 British Grand Prix race session. Explain how the safety car and red flag affected the pit decisions and final positions of the top five drivers, including key timing and strategy changes.
A timeline-based explanation of strategy changes showing how interruptions altered the race outcome.
Load the 2024 Italian Grand Prix qualifying session. Compare Leclerc and Norris on their fastest laps using sector performance, speed traces, and time loss, and identify the decisive corners and sectors.
A qualifying analysis with sector breakdowns, speed comparisons, and the key mistakes or advantages that decided the lap.
Access live current-season Formula 1 standings, results, and schedule data.
Access real-time and historical Formula 1 data for analysis and integrations.
Access live iRacing telemetry and control cameras, pits, and replays via AI.
Turn any AI assistant into a football analytics and scouting platform.
Query FACEIT players, matches, hubs, and tournaments through typed API tools.
Build and manage MCP servers and clients quickly with Python.