anup-shesh/garmin-local-mcp
by Various
Local-first Garmin data warehouse with an analysis-grade MCP server. Sync once, analyze forever - even when the API is down.
MCP
anup-shesh/garmin-local-mcp
Added 13 July 2026
Overview
Local-first Garmin data warehouse with an analysis-grade MCP server. Sync once, analyze forever even when the API is down.
Best for
Best for
Developers who want to locally archive and analyze their Garmin health data without relying on the API
Use cases
- Store Garmin health data locally for long-term analysis
- Run queries against personal fitness data without live API dependency
- Build custom dashboards or apps on top of synced Garmin data
How to use
Install
uvx garmin-local-mcp --help Tools exposed
auth_statussync_statusget_dayquery_metricslist_activitiesget_activityimport_fitrequest_delay_secondsbaseline_window_daysGARMIN_MCP_DATA_DIR
Tested with
Claude Desktop, Claude Code, Cursor
Example client config
{\n "mcpServers": {\n "garmin": {\n "command": "garmin-local-mcp",\n "args": ["serve"]\n }\n }\n} Notes
Local-first Garmin data warehouse with an analysis-grade MCP server. Sync once, analyze forever even when the API is down.
2 stars on GitHub. Last updated 2026-07-11. Licensed MIT.
Use cases
- Store Garmin health data locally for long-term analysis
- Run queries against personal fitness data without live API dependency
- Build custom dashboards or apps on top of synced Garmin data
Pros
- Local-first design ensures privacy and offline access
- Analysis-grade MCP server supports standard tool integration
- Sync once and remain independent of API availability
Cons
- Very new with only 2 GitHub stars, indicating limited community adoption
- Requires Python environment setup and configuration
- Documentation and stability may be minimal at this stage
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Local-first design ensures privacy and offline access
- Analysis-grade MCP server supports standard tool integration
- Sync once and remain independent of API availability
Cons
- Very new with only 2 GitHub stars, indicating limited community adoption
- Requires Python environment setup and configuration
- Documentation and stability may be minimal at this stage
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.