F1 Data
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Accesses and delivers comprehensive Formula 1 data, including schedules, results, standings, and lap times via a Model Context Protocol server.
About
This server integrates with the Model Context Protocol (MCP) to offer comprehensive Formula 1 data. Utilizing the FastF1 Python package, it allows users to access a wide range of information, from current and historical race schedules and session results to detailed lap times, driver and constructor standings, and circuit specifics, all through a standardized protocol for easy integration and analysis. It's designed to be tested and debugged efficiently using the MCP Inspector.
Key Features
- Access lap times and telemetry data
- Driver and constructor standings
- Get race schedules for any F1 season
- Retrieve session results (practice, qualifying, race)
- Circuit information
- 0 GitHub stars
Use Cases
- Building custom applications that display F1 schedules, results, or standings
- Retrieving historical and current F1 race data for analysis
- Debugging and testing Model Context Protocol (MCP) server functionalities
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