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Garth (Garmin Connect)

matin

by matin

Integrate Garth with Garmin Connect to access fitness data from your Garmin watch for fitness tracking, including sleep

Integrates with Garmin Connect to provide access to fitness and health data including sleep statistics, daily stress, and intensity minutes with customizable date ranges.

github stars

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

30+ health and fitness tools availableCustomizable tool filteringDirect Garmin Connect integration

best for

  • / Fitness enthusiasts tracking health metrics
  • / Developers building health analytics applications
  • / Researchers analyzing sleep and activity patterns

capabilities

  • / Fetch detailed sleep data with movement tracking
  • / Retrieve daily stress and intensity minutes
  • / Get activity details and workout history
  • / Access body composition metrics
  • / Query user profile and device settings
  • / Filter available tools to reduce overhead

what it does

Connects to Garmin Connect to retrieve your fitness and health data including sleep patterns, stress levels, activities, and body metrics. Requires Garmin account authentication.

about

Garth (Garmin Connect) is a community-built MCP server published by matin that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Garth with Garmin Connect to access fitness data from your Garmin watch for fitness tracking, including sleep It is categorized under developer tools, analytics data.

how to install

You can install Garth (Garmin Connect) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Garth (Garmin Connect) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

garth-mcp-server

PyPI version

Garmin Connect MCP server based on garth.

Usage

image

Install

{
  "mcpServers": {
    "Garth - Garmin Connect": {
      "command": "uvx",
      "args": [
        "garth-mcp-server"
      ],
      "env": {
        "GARTH_TOKEN": "<output of `uvx garth login`>"
      }
    }
  }
}

Make sure the path for the uvx command is fully scoped as MCP doesn't use the same PATH your shell does. On macOS, it's typically /Users/{user}/.local/bin/uvx.

Tool Filtering

By default, all 30 tools are exposed. To reduce context size for LLM usage, you can filter tools using environment variables.

Enable specific tools only (whitelist)

{
  "mcpServers": {
    "Garth - Garmin Connect": {
      "command": "uvx",
      "args": ["garth-mcp-server"],
      "env": {
        "GARTH_TOKEN": "<token>",
        "GARTH_ENABLED_TOOLS": "get_activities,get_activity_details,daily_steps,nightly_sleep"
      }
    }
  }
}

Disable specific tools (blacklist)

"env": {
  "GARTH_TOKEN": "<token>",
  "GARTH_DISABLED_TOOLS": "get_gear,get_gear_stats,get_device_settings,get_connectapi_endpoint"
}

Tool names are case-insensitive and comma-separated. If GARTH_ENABLED_TOOLS is set, GARTH_DISABLED_TOOLS is ignored.

Tools

Health & Wellness (using Garth data classes)

  • user_profile - Get user profile information
  • user_settings - Get user settings and preferences
  • nightly_sleep - Get detailed sleep data with optional movement data
  • daily_sleep - Get daily sleep summary data
  • daily_stress / weekly_stress - Get stress data
  • daily_intensity_minutes / weekly_intensity_minutes - Get intensity minutes
  • daily_body_battery - Get body battery data
  • daily_hydration - Get hydration data
  • daily_steps / weekly_steps - Get steps data
  • daily_hrv / hrv_data - Get heart rate variability data

Activities (using Garmin Connect API)

  • get_activities - Get list of activities with optional filters
  • get_activities_by_date - Get activities for a specific date
  • get_activity_details - Get detailed activity information
  • get_activity_splits - Get activity lap/split data
  • get_activity_weather - Get weather data for activities

Additional Health Data (using Garmin Connect API)

  • get_body_composition - Get body composition data
  • get_respiration_data - Get respiration data
  • get_spo2_data - Get SpO2 (blood oxygen) data
  • get_blood_pressure - Get blood pressure readings

Device & Gear (using Garmin Connect API)

  • get_devices - Get connected devices
  • get_device_settings - Get device settings
  • get_gear - Get gear information
  • get_gear_stats - Get gear usage statistics

Utility Tools

  • monthly_activity_summary - Get monthly activity overview
  • snapshot - Get snapshot data for date ranges
  • get_connectapi_endpoint - Direct access to any Garmin Connect API endpoint

FAQ

What is the Garth (Garmin Connect) MCP server?
Garth (Garmin Connect) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Garth (Garmin Connect)?
This profile displays 35 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.735 reviews
  • Fatima Taylor· Dec 28, 2024

    Garth (Garmin Connect) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Ira Jackson· Dec 4, 2024

    According to our notes, Garth (Garmin Connect) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • James Mensah· Dec 4, 2024

    Useful MCP listing: Garth (Garmin Connect) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Rahul Santra· Nov 23, 2024

    Garth (Garmin Connect) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Diya Park· Nov 23, 2024

    I recommend Garth (Garmin Connect) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • James Kim· Nov 23, 2024

    Garth (Garmin Connect) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Pratham Ware· Oct 14, 2024

    Garth (Garmin Connect) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Ishan Shah· Oct 14, 2024

    We evaluated Garth (Garmin Connect) against two servers with overlapping tools; this profile had the clearer scope statement.

  • Emma Iyer· Oct 14, 2024

    We wired Garth (Garmin Connect) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Aarav Thomas· Sep 25, 2024

    Garth (Garmin Connect) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

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