Formula One MCP Server (Python)
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Alternatives to Formula One MCP Server (Python)
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Related Servers
- AlicenseAqualityCmaintenanceA local MCP server that gives Claude (or any MCP-compatible AI client) access to Formula 1 race data. Load any session from 2018 onwards, ask questions in natural language, and get answers backed by real telemetry, timing, and strategy data.4171MIT
- 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
- AlicenseAqualityDmaintenanceA Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.81MIT
- AlicenseAqualityCmaintenanceMCP server for Formula 1 data via the FastF1 library. Ask Claude (or any MCP-compatible client) about race results, lap times, telemetry, standings, pit stops, and qualifying — with historical data back to 1950 via the Ergast API.21MIT
- AlicenseNot gradedqualityBmaintenanceA high-performance personal Model Context Protocol (MCP) server built with the FastMCP Python framework.MIT
- AlicenseBqualityBmaintenanceMCP server that provides F1 telemetry analysis, tyre degradation modeling, and pit strategy recommendations, delivering race engineer-style calls grounded in real data. It exposes tools for degradation fits, fuel correction, and strategy reasoning via LangGraph.4MIT
TDQS
Scored across 8 tools
All 8 tools target distinct aspects of Formula One data—drivers, events, sessions, championships, and telemetry—with no overlapping functionality. Each has a clear, non-redundant purpose.
Every tool uses a consistent verb_noun pattern with lowercase and underscores (e.g., get_driver_info, analyze_driver_performance). The naming is predictable and adheres to a single convention.
With 8 tools, the server is well-scoped for its domain. It covers essential F1 operations without being too sparse or overly granular, making it ideal for most common queries without excessive complexity.
The tool set covers major areas: driver info, performance analysis, comparisons, standings, event details, schedule, session results, and telemetry. One minor gap is lack of team/constructor info, but the surface is otherwise comprehensive for a dedicated F1 server.