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mcp-garmin-connect

Python 3.11+ MCP License: MIT CI

LLM-agnostic Garmin Connect MCP server for training, recovery, sleep, stress, VO2 Max, race predictions, and running summaries.

Use the same local Garmin tools from any MCP client — Claude Desktop, Claude Code, Cursor, Continue, Hermes, opencode — or from provider-backed demo agents using DeepSeek, OpenAI, Claude, OpenRouter, or Gemini.

Works With Any MCP Harness

This server implements standard MCP over stdio and Streamable HTTP, so there is no harness-specific adapter to maintain. If your tool speaks MCP, it works:

Harness Connection
Claude Code / Claude Desktop mcpServers stdio config
Codex CLI MCP server config
Gemini CLI MCP server config
Cursor, Windsurf, Zed, VS Code Copilot, Continue MCP server settings (stdio or HTTP)
opencode mcp block in opencode.json
Hermes stdio or HTTP
Custom agents, web bots, scripts Streamable HTTP at http://127.0.0.1:8765/mcp

Any client that supports MCP over stdio or Streamable HTTP can use every tool and prompt in this server with no extra code.

Why This Exists

Most fitness advice from LLMs is generic. This server lets an LLM inspect your real Garmin Connect data first, then answer with context from your activities, recovery markers, HRV, sleep, stress, VO2 Max, and running history.

The core server is provider-neutral. DeepSeek, OpenAI, Claude, OpenRouter, and Gemini integrations are optional demo bridges for clients that do not speak MCP directly.

Features

  • 15 Garmin tools and 4 prompt templates for training and recovery analysis.
  • Local MCP server over stdio or Streamable HTTP (/mcp).
  • Endpoint-level TTL cache with single-flight factories — concurrent tool calls share one Garmin request instead of stampeding the API.
  • Global request concurrency cap so parallel snapshots stay within a safe request rate.
  • Partial-error reporting — composite tools include an errors array when an endpoint fails, instead of silently returning nulls.
  • Provider demo bridge for deepseek, openai, claude, openrouter, and gemini.
  • Explicit opt-in before Garmin health/activity data is sent to any external LLM provider.
  • Mocked test suite plus optional live Garmin smoke tests.

Quick Start

uv sync
cp .env.example .env

Set Garmin credentials in .env:

GARMIN_EMAIL=you@example.com
GARMIN_PASSWORD=your-password

Authenticate once (interactive MFA supported):

uv run garmin-mcp login
uv run garmin-mcp doctor --live

List available MCP tools, then run the server:

uv run garmin-mcp tools
uv run garmin-mcp serve --transport stdio

HTTP transport:

uv run garmin-mcp serve --transport http --host 127.0.0.1 --port 8765
# clients connect to http://127.0.0.1:8765/mcp

Windows (PowerShell) equivalents: uv sync, Copy-Item .env.example .env, notepad .env, then the same uv run garmin-mcp ... commands.

MCP Client Setup

Generic stdio config:

{
  "mcpServers": {
    "garmin": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/mcp-garmin-connect",
        "run",
        "garmin-mcp",
        "serve",
        "--transport",
        "stdio"
      ]
    }
  }
}

opencode (opencode.json):

{
  "mcp": {
    "garmin": {
      "type": "local",
      "command": [
        "uv",
        "--directory",
        "/path/to/mcp-garmin-connect",
        "run",
        "garmin-mcp",
        "serve",
        "--transport",
        "stdio"
      ],
      "enabled": true
    }
  }
}

Per-client examples (Claude Desktop, Claude Code, Cursor, Continue, Hermes, generic stdio/HTTP) live in docs/clients.

MCP Tools

Tool Purpose
get_recovery Readiness, HRV, sleep, body battery, resting HR, training status if available
get_sleep Sleep duration and sleep score trends
get_resting_heart_rate Daily RHR with 7-day and 30-day trend summaries, up to 30 days
get_stress Daily stress buckets and average stress
get_recent_activities Recent normalized activity summaries
get_activity_detail One activity with training effect fields
get_recent_load Volume by sport based on recent activities
get_training_load Native Garmin Training Load when the device/account exposes it
get_fitness VO2 Max, FTP, and race predictions
get_zones Heart-rate zones and thresholds from Garmin user settings
get_personal_records Garmin personal records
get_running_summary Running summary with pace, HR, longest and fastest run
get_monthly_running_stats Monthly running breakdown
get_health_summary Compact recovery, sleep, RHR, and stress snapshot
get_full_snapshot Broad multi-section Garmin snapshot

MCP Prompts

  • recovery_check
  • weekly_training_review
  • activity_analysis
  • race_plan_context

Configuration

All settings come from environment variables (.env is loaded automatically).

Variable Default Purpose
GARMIN_EMAIL — Garmin Connect account email (required)
GARMIN_PASSWORD — Garmin Connect password (required)
GARMIN_TOKEN_STORE ~/.garminconnect Directory for the OAuth token cache
GARMIN_CACHE_TTL_SECONDS 120 TTL for cached Garmin endpoint responses
GARMIN_MAX_CONCURRENCY 6 Global cap on in-flight Garmin requests

Provider bridge variables (optional): DEEPSEEK_API_KEY, OPENAI_API_KEY, ANTHROPIC_API_KEY, OPENROUTER_API_KEY, GEMINI_API_KEY, plus the matching *_BASE_URL and *_MODEL overrides.

How It Stays Fast And Quiet

  • Endpoint-level cache. Sleeping, stress, RHR, and activity fetches are cached per day/limit and shared across every tool that needs them — a get_full_snapshot burst reuses the same responses instead of refetching.
  • Single-flight. If two tool calls ask for the same missing key, only one hits Garmin; the other waits and reuses the result.
  • Failures are never cached. A failed endpoint is retried on the next call.
  • Concurrency cap. All outbound Garmin calls pass through one bounded semaphore (GARMIN_MAX_CONCURRENCY) so parallel sections cannot flood the API.
  • Visible partial failures. When an optional endpoint fails, composite tools add an errors array (source + exception) to their output.

Provider Demo Agents

Provider API access may require a paid account or credits even if the provider's web app has a free tier.

DEEPSEEK_API_KEY=sk-...
OPENAI_API_KEY=sk-...
ANTHROPIC_API_KEY=sk-ant-...
OPENROUTER_API_KEY=sk-or-...
GEMINI_API_KEY=...
Provider Env key Default model API style
DeepSeek DEEPSEEK_API_KEY deepseek-v4-pro OpenAI-compatible Chat Completions
OpenAI OPENAI_API_KEY gpt-5 OpenAI Chat Completions
Claude ANTHROPIC_API_KEY claude-sonnet-5 Anthropic Messages API
OpenRouter OPENROUTER_API_KEY google/gemini-3-flash-preview OpenAI-compatible Chat Completions
Gemini GEMINI_API_KEY gemini-3.6-flash Gemini Generate Content API
uv run garmin-mcp ask "How is my recovery today?" --provider deepseek --allow-external-health-data
uv run garmin-mcp ask "Summarize my running for 90 days." --provider openai --allow-external-health-data
uv run garmin-mcp ask "What should I focus on this week?" --provider claude --allow-external-health-data

The --allow-external-health-data flag is required because Garmin tool results can be sent to the selected provider.

Privacy And Safety

  • Your .env file and Garmin token cache stay local and are ignored by git.
  • MCP clients that run locally can call Garmin tools without sending provider API keys to this project.
  • Provider demo commands such as garmin-mcp ask can send Garmin health/activity results to the selected LLM provider, so the CLI requires --allow-external-health-data.
  • get_zones returns only zone/threshold fields from the Garmin profile, not the raw profile (gender, birth date, weight, and similar PII are trimmed).

Testing

uv run garmin-mcp doctor
uv run garmin-mcp doctor --live
uv run garmin-mcp tools
uv run ruff check .
uv run pytest

CI runs on Linux (Python 3.11, 3.12, 3.13) and Windows (3.12). Optional live tests are gated and never run in CI:

$env:GARMIN_LIVE_TEST = "1"
uv run pytest tests/live

Troubleshooting

  • Garmin rate-limited the request — lower GARMIN_MAX_CONCURRENCY (for example to 3) and retry after a few minutes.
  • Garmin authentication failed — check GARMIN_EMAIL/GARMIN_PASSWORD, then run uv run garmin-mcp login from a real terminal (MFA prompts need interactive input).
  • A tool returns errors — the array names the endpoint that failed; the rest of the payload is still valid partial data.

Garmin Disclaimer

This project uses the community garminconnect Python package and Garmin Connect endpoints. Garmin Connect is not a public API for individual open-source projects, and authentication or endpoint behavior may change without notice.

Some metrics depend on Garmin device capabilities. For example, a device may expose VO2 Max and Training Effect but not native Garmin Training Load or Training Status. Zone availability depends on what the Garmin user settings endpoint exposes for your account.

License

This project is licensed under the MIT License.

Made by kavakoss. Inspired by Jack-Abyss/claude-garmin, with a clean-room implementation focused on LLM-agnostic MCP usage.

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