AI Agent for Strava MCP
Integrate your Strava data seamlessly with AI-powered workflows using the Strava MCP Server. This integration bridges your Strava activities, profiles, stats, and routes to AI assistants through the Model Context Protocol (MCP), unlocking advanced analysis, real-time data queries, and actionable insights for athletes and fitness enthusiasts.
Instant Strava Data Access for AI
Unlock comprehensive access to your Strava workouts, profile, and stats in real time. The Strava MCP Server provides AI-friendly JSON responses, enabling LLMs and assistants to fetch recent activities, athlete stats, and detailed streams like heart rate, power, and cadence on demand. Perfect for automated fitness reporting, coaching, and personal analytics.
- Activity Streams.
- Fetch and analyze heart rate, power, cadence, and elevation data from your workouts instantly.
- Profile & Stats.
- Access up-to-date athlete profiles, yearly and all-time statistics, and personal bests.
- Recent Activities.
- Get a real-time list of your latest Strava activities for immediate review or reporting.
- AI-Ready Integration.
- Seamless MCP protocol support ensures your Strava data is structured for LLM and AI agent consumption.
Advanced Segment & Route Management
Effortlessly explore, manage, and analyze Strava segments and routes through natural language prompts. AI agents can list starred segments, fetch segment details, star or unstar segments, and export routes in GPX or TCX formats for deeper analysis and training optimization.
- Segment Discovery.
- Explore and analyze popular segments in any region for targeted training or adventure planning.
- Star/Unstar Segments.
- Easily favorite or unfavorite segments for personalized tracking and goal setting.
- Route Export.
- Export your favorite routes in GPX or TCX format for use with other tools and devices.
Seamless AI and Fitness Workflow Integration
Integrate Strava data into your AI assistants for personalized coaching, automated progress analysis, and club management. The Strava MCP Server supports robust authentication, secure token handling, and easy setup—ensuring your athlete data remains private, accurate, and always available for advanced automation.
- Secure Authentication.
- Robust OAuth and token refresh ensure your Strava data is protected and always accessible.
- Club Insights.
- List and manage Strava clubs, enabling AI-powered group activity summaries and insights.
MCP INTEGRATION
Available Strava MCP Integration Tools
The following tools are available as part of the Strava MCP integration:
- get-recent-activities
Fetch your recent Strava activities, including runs, rides, and workouts, with key summary data.
- get-athlete-profile
Retrieve your Strava athlete profile details such as username, location, premium status, and more.
- get-athlete-stats
Get your activity statistics, including totals and personal records for runs, rides, and swims.
- get-activity-details
Retrieve detailed information for a specific activity by ID, including type, distance, and performance metrics.
- list-athlete-clubs
List all Strava clubs you belong to, including club names, sports, and locations.
- list-starred-segments
View a list of segments you have starred or favorited, along with segment details.
- get-segment
Fetch detailed information about a specific Strava segment, including distance and elevation.
- explore-segments
Search for popular segments in a specified geographic area, with filtering options for activity type or climb category.
- star-segment
Star or unstar a segment for your account by providing the segment ID and desired status.
Unlock the Power of Your Strava Data with AI
Experience seamless integration between your Strava activities and advanced AI tools. Analyze, visualize, and manage your workouts like never before—connect your Strava account and let intelligent coaching and insights elevate your training.
What is Strava MCP Server
Strava MCP Server is an open-source Model Context Protocol (MCP) server that bridges the Strava API with Large Language Models (LLMs). Developed by r-huijts, this server enables seamless data retrieval and management of Strava activities—such as running, cycling, and other fitness records—using natural language queries and AI tools. It is designed for developers, data scientists, and AI agents who want to access, analyze, or automate Strava fitness data through standardized protocols and advanced integrations.
Capabilities
What we can do with Strava MCP Server
Strava MCP Server enables developers and AI agents to interact with Strava's rich dataset of fitness activities via standardized protocols. With this service, you can automate data retrieval, analyze activity trends, and build custom integrations that leverage Strava's health and fitness ecosystem.
- Retrieve Activity Data
- Access detailed records of running, cycling, and multisport activities from Strava accounts.
- Automate Fitness Tracking
- Build automated workflows to collect, monitor, and analyze fitness metrics over time.
- Integrate with AI Agents
- Connect fitness data to LLMs for natural language analysis, summaries, and actionable insights.
- Custom Application Development
- Use the MCP server as a backend to power new fitness and health applications.
- Data Visualization
- Aggregate and visualize fitness data for deeper personal or research-driven insights.
How AI Agents Benefit from Strava MCP Server
AI agents can leverage the Strava MCP Server to unlock actionable insights from user fitness data, automate workout summaries, provide training recommendations, and deliver personalized health analytics. By integrating with Strava's API, AI agents can contextualize and interpret vast amounts of activity data, enhancing digital coaching, health monitoring, and fitness tracking experiences.