iRacing Telemetry
This MCP server provides real-time iRacing telemetry streaming and AI-powered racing coaching through integration with the iRacing SDK and OpenAI APIs. Built with Python and featuring both live telemetry capture and mock data simulation for development, it offers tools for telemetry analysis, car spotting, lap performance evaluation, and contextual racing advice based on current track conditions and driving data. The implementation includes voice interface capabilities, advanced telemetry processing with G-force calculations and racing line analysis, and a comprehensive event handling system that provides situational awareness and coaching feedback, making it ideal for sim racers seeking data-driven performance improvement and real-time strategic guidance during practice sessions and races.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/consolecowboy0/race-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve iRacing Telemetry from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.