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Query local Zwift training history through MCP clients and a REST API.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "zwift-mcp" yet — see the docs or source repo.
Query my local Zwift database for training activities in the last 30 days, listing the date, ride title, distance, duration, and average power for each session.
A list of activities from the last 30 days with key training metrics for each ride.
Read my Zwift training history and summarize my power curve, showing best efforts for 5 seconds, 1 minute, 5 minutes, and 20 minutes.
Best power values across selected durations for evaluating sprint and endurance performance.
Query my Zwift race results and training load, then summarize performance changes and training load trends over the last 8 weeks.
A summary of race results and training load trends to help review recent training effectiveness.
Cyclists or coaches can expose a local Zwift SQLite database to MCP clients so AI tools can directly query activities, power curves, and training load. This speeds up training reviews and data-driven Q&A.
Developers can use it to expose locally stored Zwift history through a REST API, allowing other apps to read activities, race results, and training load data. It fits custom dashboards and data integrations.
Data analysts can query race results and power performance to quickly inspect recent changes in competitive form. It is useful for searching and summarizing existing Zwift history.
It exposes Zwift training history stored in a local SQLite database to MCP clients and a REST API. You can use it to query activities, power curves, race results, and training load.
The known data source is Zwift training history stored in a local SQLite database. The provided material does not describe the schema or sync method; see the source repository for details.
The provided information only says it supports access from MCP clients and a REST API; it does not include installation steps or mention whether keys are required. Please check the source repository for prerequisites.
Query Strava activities, stats, routes, and analyze training performance.
Convert structured cycling workouts into MyWhoosh and Garmin workout files.
Expose Garmin Connect health and training data to MCP-compatible AI assistants.
Read intervals.icu data and create device-syncable structured workouts on the calendar.
Access Whoop API data for recovery, sleep, workouts, cycles, and profile.
Connect Garmin wellness metrics to AI for recovery-aware workload planning.