# Strava MCP

> Strava MCP — ljcl-strava-mcp. Use this tool when you need to enhance your Strava experience with advanced features and analytics. It solves problems of limited data access and visualization by providing write access, segments, routes, and interactive visualizations, taking inputs such as user data and activity logs, and outputting detailed analysis and insights. Ideal for athletes and fitness enthusiasts seeking deeper performance understanding and improved tracking capabilities.

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

## Description

An MCP server that supplements the official Strava connector with write access, segments, routes, photos, derived analysis, and interactive visualizations.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dh77jsi9dh)
- **Repository:** <https://github.com/ljcl/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": "ljcl-strava-mcp"
    }
  }
}
```

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