A Model Context Protocol (MCP) server for Strava integration. Access your activities, athlete stats, segments, and routes through Claude, ChatGPT, and other LLMs.
Strava is an MCP project maintained in the eddmann/strava-mcp repository. The maintainer describes its purpose as “A Model Context Protocol (MCP) server for Strava integration. Access your activities, athlete stats, segments, and routes through Claude, ChatGPT, and other LLMs”. Read the project documentation for the complete scope.
The documented pypi package is mcp-strava. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| query_activities | Unified query for activities with filtering (distance, title, race status) and optional enrichment (laps, zones, streams) |
| get_activity_social | Get comments and kudos for an activity |
| get_athlete_profile | Get athlete profile with optional statistics (recent, YTD, all-time) and training zones |
| query_segments | Unified segment query (by ID, starred, or explore by geographic bounds) |
| star_segment | Star or unstar a segment |
| get_segment_leaderboard | Get segment leaderboard with filtering options |
| query_routes | Get route details (single route by ID or list all routes) |
| export_route | Export a route to GPX or TCX format |
| analyze_training | Analyze training over a time period with filtering (distance, title, race status) and aggregated metrics |
| compare_activities | Compare 2-5 activities side-by-side |
| find_similar_activities | Find activities similar to a reference activity with pre-filtering options for progress tracking |
{
"mcpServers": {
"strava": {
"command": "uvx",
"args": [
"mcp-strava"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Enables language models to access and query athlete activity data from the Strava API.
Enables interaction with the Strava API through a Model Context Protocol (MCP) server.
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