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Sync Garmin data to local SQLite for offline trend and correlation analysis.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.anup-shesh/garmin-local-mcp" MCP server from askskill: Run: claude mcp add 'io-github-anup-shesh-garmin-local-mcp' -- npx -y garmin-local-mcp
A data analyst or researcher can sync Garmin data into local SQLite and review long-term trends without network access. This is useful for personal health tracking and longitudinal observation.
Users can analyze correlations between different Garmin metrics using the local data warehouse, such as relationships between training and other health data. This fits exploratory data analysis.
Developers can use the synced SQLite database as the basis for follow-up analysis, reducing repeated online fetching. It suits workflows that prioritize local processing and control.
It is a local-first Garmin data warehouse tool. It syncs Garmin data into SQLite and supports offline analysis of trends and correlations.
The provided description indicates that data is synced into local SQLite. For the exact database file location or schema details, see the source repository.
It emphasizes a local-first approach: data is synced locally first, then analyzed offline. In other words, trend and correlation analysis can be done against local SQLite data.
Query local Garmin health history and training data in natural language.
Expose Garmin Connect health and training data to MCP-compatible AI assistants.
Connect Garmin data for health analysis, workout planning, and coaching workflows.
Query live Garmin health, fitness, sleep, and activity trends in natural language.
Connect Garmin wellness metrics to AI for recovery-aware workload planning.
Access Garmin Connect data for activity, health, training, and device analysis.