# iRacing Telemetry

> Use this tool when you need to analyze and improve your iRacing performance with real-time telemetry data and AI-powered coaching. It solves problems such as optimizing lap times, improving car handling, and making data-driven decisions during races, by providing inputs like live telemetry and track conditions, and outputs like voice guidance, G-force calculations, and racing line analysis. Ideal for sim racers seeking to enhance their skills during practice sessions and races, it offers a comprehensive interface for performance evaluation and strategic guidance.

Canonical page: https://skillsregistry.net/skills/consolecowboy0-iracing-telemetry  
JSON: https://api.skillsregistry.net/v1/skills/consolecowboy0-iracing-telemetry

## Description

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.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/consolecowboy0-iracing-telemetry)
- **Repository:** <https://github.com/consolecowboy0/race-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "consolecowboy0-iracing-telemetry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/consolecowboy0-iracing-telemetry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/consolecowboy0-iracing-telemetry/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt