F1 MCP Server
Related Servers
Alternatives to F1 MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseAqualityBmaintenanceEnables LLM-powered race engineers to compute Formula 1 pit-stop strategies from real session data, including tire degradation modeling, optimal pit windows, undercut/overcut simulation, and finish-position projection.9-
- AlicenseNot gradedqualityDmaintenanceEnables Formula 1 data analysis through natural language, providing tools like track dominance, lap time analysis, and team performance comparisons.Apache 2.0
- AlicenseNot gradedqualityDmaintenanceProvides comprehensive Formula 1 data and analytics for Claude Desktop, including race results, telemetry, standings, and strategy insights through 36+ tools.1MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that provides 118+ Formula 1 analytics tools, enabling race analysis, driver comparisons, telemetry exploration, and strategy simulation through natural language.MIT
- AlicenseNot gradedqualityDmaintenanceProvides real-time and historical Formula 1 racing data through the Model Context Protocol, offering access to timing data, driver stats, race results, telemetry, and more.15MIT
- AlicenseAqualityBmaintenanceEnables AI agents to retrieve Formula 1 race narratives, lap-by-lap timelines, stint strategy, telemetry-derived circuit surveys, championship projections, and historical results through eight focused tools that return plain JSON with era-aware coverage.2131 PyPIApache 2.0
TDQS
Scored across 13 tools
Every tool has a clearly distinct purpose with no overlap; for example, analyze_driver_performance focuses on driver skill separation, analyze_lap_times on lap breakdowns, and get_race_schedule on scheduling, making misselection unlikely.
All tool names follow a consistent verb_noun pattern using snake_case, such as analyze_driver_performance, get_race_schedule, and predict_weather_impact, with no deviations in style or convention.
With 13 tools, the count is well-scoped for an F1 data server, covering analysis, real-time data, scheduling, and simulations without being overwhelming or insufficient for the domain.
The toolset provides complete coverage for F1 data analysis, including real-time telemetry, historical data, performance insights, strategy simulation, and API status checks, with no apparent gaps in the domain.