garmin_mcp MCP Server
Taxuspt/garmin_mcp
[](https://agentrank-ai.com/tool/Taxuspt--garmin_mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Are you the maintainer of Taxuspt/garmin_mcp? Claim this listing →
MCP server to access Garmin data
Add AgentRank to Claude Code Discover and compare tools like Taxuspt/garmin_mcp — your AI finds the right one automatically
Get API Access → claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Taxuspt/garmin_mcp is a Python MCP server licensed under MIT. MCP server to access Garmin data
Ranked #2807 out of 24846 indexed tools.
Has 1,329 GitHub stars.
Has 44 contributors.
Ecosystem
Score Breakdown
Stars 15% 1,329
1,329 stars → well-known project
Freshness 25% 15d ago
Last commit 15d ago → recently updated
Issue Health 25% 52%
70/134 issues closed → decent issue management
Contributors 10% 44
44 contributors → active community
Dependents 25% 0
No dependents → no downstream usage
npm Downloads N/A
PyPI Downloads 13% 133/wk
133 weekly installs → early adoption
Forks 418
Description Brief
License MIT
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Description low impact
Dependents medium impact
Matched Queries
From the README
# Garmin MCP Server This Model Context Protocol (MCP) server connects to Garmin Connect and exposes your fitness and health data to Claude and other MCP-compatible clients. Garmin's API is accessed via the awesome [python-garminconnect](https://github.com/cyberjunky/python-garminconnect) library. ## Features - List recent activities with pagination support - Get detailed activity information - Edit activities: name, type, description/notes, event type, perceived effort (RPE), and feel - Access health metrics (steps, heart rate, sleep, stress, respiration) - View body composition data - Track training status and readiness - Access cycling FTP and lactate threshold metrics - Manage gear and equipment, including free-text notes returned by `get_gear` - Access workouts and training plans - Inspect detailed workout step structures, including repeat groups and swim pace targets - Weekly health aggregates (steps, stress, intensity minutes) - Advanced cycling analytics: power zones, FIT fiRead full README on GitHub →
Get the weekly AgentRank digest
Top movers, new tools, ecosystem insights — straight to your inbox.