# strava-mcp

> Use this tool when you need to analyze your athletic performance and access Strava data through conversational interface, enabling training load analysis, activity comparison, and lap splits. It solves problems related to performance tracking, progress monitoring, and data insights for athletes. By integrating with Strava, it takes activity data as input and provides actionable analytics and comparisons as output.

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

## Description

Exposes your Strava data to Claude, enabling training load analysis, activity comparison, and lap splits via conversation.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hyfayo2wci)
- **Repository:** <https://github.com/nicolefreeman/strava-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": "nicolefreeman-strava-mcp"
    }
  }
}
```

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