# mcp-strava

> Use this tool when you need to integrate Strava data into your workflow, providing access to athlete statistics, activity details, and segment analysis. It solves problems related to fitness tracking, athlete performance monitoring, and route optimization. With 7 focused tools, it accepts inputs such as athlete IDs and activity codes, and outputs detailed statistics and analysis.

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

## Description

Minimalist Strava integration for Claude with 7 focused tools for querying athlete stats, activities, zones, and segment analysis.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-05-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r4kerzx6kb)
- **Repository:** <https://github.com/adrienlupo/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": "adrienlupo-mcp-strava"
    }
  }
}
```

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

---
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