# livetrack-mcp

> Use this tool when you need to automate the collection and analysis of athlete performance data during races, solving problems such as manual data tracking and delayed coaching feedback. It takes in Garmin LiveTrack data as input, stores time-series metrics in SQLite, and outputs real-time coaching feedback through periodic Claude analysis. Ideal for use in competitive racing environments where timely performance insights are crucial.

Canonical page: https://skillsregistry.net/skills/aviman1109-livetrack-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aviman1109-livetrack-mcp

## Description

An autonomous MCP server that polls Garmin LiveTrack data during races, stores time-series metrics in SQLite, and triggers periodic Claude analysis for real-time coaching feedback.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c3jv9w24u5)
- **Repository:** <https://github.com/aviman1109/livetrack_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": "aviman1109-livetrack-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aviman1109-livetrack-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aviman1109-livetrack-mcp/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