The official Strava MCP Server provides access to activity-related data such as workouts, activity streams, segments, routes, and athlete information.
For many use cases, this is sufficient. AI assistants can analyze workout history, summarize training sessions, or identify patterns in activity data.
The RUNALYZE MCP Server goes several steps further by combining activity data with training calculations, race history, recovery metrics, health data, and subjective athlete feedback.
This enables a much deeper level of analysis and allows AI assistants to understand not only what an athlete did, but also how their body responded.
| Capability | Strava MCP | RUNALYZE MCP | |------------|------------|--------------| | Activity History | ✅ | ✅ | | Distance, Duration, Pace | ✅ | ✅ | | Heart Rate During Activities | ✅ | ✅ | | GPS & Activity Streams | ✅ | ✅ | | Routes & Segments | ✅ | ❌ | | Elevation Gain | ✅ | ✅ | | Splits | ✅ | ✅ | | RPE (Perceived Effort) | ❌ | ✅ | | Effective VO2max | ❌ | ✅ | | Historical Race Results | ❌ | ✅ | | Performance Predictions | ❌ | ✅ | | CTL / ATL / TSB | ❌ | ✅ | | Acute:Chronic Ratio | ❌ | ✅ | | Training Monotony & Strain | ❌ | ✅ | | Marathon Shape | ❌ | ✅ | | HRV Trends | ❌ | ✅ | | HRV Baseline & Normal Range | ❌ | ✅ | | Resting Heart Rate Trends | ❌ | ✅ | | Sleep Analysis | ❌ | ✅ | | Sleep Stages & Sleep Quality | ❌ | ✅ | | Respiratory Rate Trends | ❌ | ✅ | | Weight & Body Composition Trends | ❌ | ✅ | | Blood Glucose Trends | ❌ | ✅ | | Blood Pressure Trends | ❌ | ✅ | | Body Temperature Trends | ❌ | ✅ | | Stress & Mood Tracking | ❌ | ✅ | | Daily Notes | ❌ | ✅ | | Injuries & Illnesses | ❌ | ✅ | | Recommended Recovery Days | ❌ | ✅ | | Recommended Training Load | ❌ | ✅ |
The Strava MCP Server gives AI assistants access to your workouts.
The RUNALYZE MCP Server gives AI assistants access to the broader context around those workouts.
For example, both MCP servers can answer:
"How many kilometers did I run last month?"
Only RUNALYZE can additionally answer questions such as:
The difference is not simply the amount of data available.
The difference is the ability to connect training, recovery, health, and performance data into a single athlete model.
This allows AI assistants to move beyond activity summaries and provide insights into:
In short, the Strava MCP Server provides access to activities, while the RUNALYZE MCP Server provides access to the athlete behind those activities.
Please let us know if you have wishes or have encountered bugs. We give our best to make Runalyze as good as possible for you. - Therefore we would be interested in your suggestions for improvement. In general most questions, problems and ideas are more appropriate to ask in the forum.