# Athlete MCP

> Athlete MCP — chamilqs-athlete-mcp. Use this tool when you need to analyze and gain insights from your Strava training data using AI. Athlete MCP solves problems related to accessing and understanding personal fitness metrics by providing a remote server to authorize with Strava and query AI about your training data. It takes Strava user credentials as input and outputs personalized training insights and analytics through AI-powered queries.

Canonical page: https://skillsregistry.net/skills/chamilqs-athlete-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chamilqs-athlete-mcp

## Description

An open-source, Strava-first remote MCP server that enables users to authorize with Strava and ask AI about their training data.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/esymaxv7n1)
- **Repository:** <https://github.com/chamilqs/athlete-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": "chamilqs-athlete-mcp"
    }
  }
}
```

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