iRacing Data MCP Server
Related Servers
Alternatives to iRacing Data MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables AI-powered racing coaching and telemetry analysis for iRacing, providing real-time racing advice, car spotting, lap analysis, and conversational interaction with racing data through live telemetry streaming.2MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to query real-time and historical Formula 1 data through the OpenF1 API, providing tools for driver info, lap times, telemetry, race events, and more.MIT
- AlicenseAqualityDmaintenanceIntegrates iRacing with the Model Context Protocol to retrieve profile statistics and iRating charts for any category.29MIT
- AlicenseCqualityDmaintenanceEnables AI assistants to access real-time iRacing telemetry, race information, camera control, pit operations, and replay features through the MCP protocol.171MIT
- AlicenseBqualityBmaintenanceEnables AI assistants to query Formula 1 sessions, laps, telemetry, stints, pit stops, positions, weather, race control and championship data from the OpenF1 API (2023 onwards), plus composite tools for race summaries, tyre strategies and multi-driver fastest-lap comparisons. It is read-only, caches and throttles requests, and samples or summarizes oversized results so large telemetry payloads stay manageable for the model.2066 npmMIT

mcp-f1official
AlicenseNot gradedqualityBmaintenanceProvides Formula 1 data via the Ergast API, enabling users to check current standings, get race results, view the season schedule, and look up driver profiles.408 npmMIT
TDQS
Scored across 6 tools
The tools are mostly distinct in purpose (e.g., driver_lookup vs. get_team vs. login), but there is some overlap between get_member_career, get_member_recap, and get_members_profile, which all seem to retrieve member-related data with unclear boundaries. Without descriptions, it's ambiguous whether these tools serve different aspects of member information or could be consolidated.
The naming follows a consistent snake_case pattern throughout, with a mix of verb_noun (e.g., driver_lookup, get_member_career) and noun-only (e.g., login) styles. While not perfectly uniform in verb usage, the structure is readable and predictable, with only minor deviations from a strict convention.
With 6 tools, the count is reasonable for a data server focused on iRacing, covering key operations like login, member data retrieval, and team info. It's slightly lean but not overly sparse, as it includes essential functions without obvious bloat, though more tools might be expected for a comprehensive racing data service.
The tool set is significantly incomplete for an iRacing data server, lacking obvious gaps such as tools for race results, standings, schedules, or car/track data. It focuses narrowly on member and team profiles without covering broader racing data, which will likely cause agent failures when trying to perform common tasks like fetching race outcomes or event details.