About Strava MCP
Strava MCP is an MCP server published by lyledean1 in the Developer Tools category: strava MCP Server. It has been installed 0 times through Conduid.
The repository has 4 stars and 0 forks, with the last commit 8 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
Install
npx strava-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
Strava MCP Server
A Model Context Protocol (MCP) server for accessing Strava activity data through Claude, with local caching for improved performance.
Quick Start
- Setup Strava developer credentials
- Install Go and clone the repository:
git clone https://github.com/lyledean1/strava-mcp cd strava-mcp make build - Configure Claude Code with your credentials:
{ "mcpServers": { "strava": { "command": "{pathToClonedRepo}/bin/strava-mcp", "env": { "STRAVA_CLIENT_SECRET": "{clientSecret}", "STRAVA_CLIENT_ID": "{clientID}", "FOLDER_PATH": "{pathToClonedRepo}" } } } }
What You Can Do
- Analyze Activities: Get detailed stats on runs, rides, swims, and other activities
- Filter by Date/Type: Find specific activities with flexible filtering
- Stream Data: Access GPS, heart rate, power, and sensor data for detailed analysis
- Performance Insights: Compare workouts, track progress, and identify patterns
Features
- Local data caching for fast responses
- Comprehensive activity metrics (distance, speed, heart rate, power, elevation)
- Time-series stream data for detailed analysis
- Automatic rate limit management
Documentation
This project is part of a comprehensive guide to building MCP servers. For detailed documentation and examples, see the accompanying book.
Tools Available
get_activities- Retrieve and filter your Strava activitiesget_activity_stream- Get detailed sensor data for specific activities
Ask Claude to help analyze your fitness data, create visualizations, or track your training progress!
License
This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.
README mirrored from the source repository 4 months ago. The original is authoritative.