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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
Help me sync Garmin data into a local SQLite database and list the tables available for analysis afterward.
A completed local sync plus a description of the tables or data structures available for analysis.
Using Garmin data stored in local SQLite, analyze trend changes in my key metrics over the last 90 days.
A trend analysis summarizing the main metrics that increased, decreased, or fluctuated.
Analyze possible correlations between training volume and other health metrics using my local Garmin data.
A correlation analysis highlighting metric relationships worth further investigation.
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, sync, and analyze local Garmin running data with AI.
Expose Garmin Connect health and training data to MCP-compatible AI assistants.
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.
Query Garmin health and fitness data in natural language.