# mcp-strava

> mcp-strava — j2h4u-mcp-strava. Use this tool when you need to analyze and optimize your fitness training with personalized coaching, leveraging your own Strava data for customized insights and recommendations. It integrates with your training data, even on a free Strava account, to provide tailored guidance. Ideal for athletes seeking data-driven coaching and improved performance tracking.

Canonical page: https://skillsregistry.net/skills/j2h4u-mcp-strava  
JSON: https://api.skillsregistry.net/v1/skills/j2h4u-mcp-strava

## Description

Turn any AI agent into your personal Strava coach — over your own training data, even on a free Strava account.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/j2h4u/mcp-strava)

## 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": "j2h4u-mcp-strava"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/j2h4u-mcp-strava` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/j2h4u-mcp-strava/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
