durely insights MCP for Garmin

app.durelyPublished by durely.appv0.5.2Updated Oct 29, 2026

Your full Garmin history, kept locally, analysed down to the second, via the official Personal API.

Overview

AI-generated overview

Connects your Garmin Connect account to an AI assistant via Garmin's Personal API, syncing your full training and health history locally for analysis.

What you can do
  • Search, inspect and compare activities: summaries, laps, second-by-second streams, zone and load analysis, side-by-side comparisons
  • Review training over time: weekly or monthly volume per sport, load, intensity, fitness/fatigue/form
  • Examine health and recovery: sleep, HRV, resting heart rate, Body Battery, stress, intraday readings, body composition, nutrition, cycle tracking
  • Query the local synced data with read-only SQL, download original FIT files, and trigger or check syncs
  • Check connection status, key expiry and time zone, and start guided prompts such as weekly review or recovery check
When to use it
Useful if you train with a Garmin device and want an assistant to answer questions about your own runs, rides, swims, sleep and recovery, from a single session up to years of history, without exporting files by hand.
Requirements
Runs locally over stdio via npx (Node.js 24+) or Docker. Needs a Garmin Connect account and a Personal API key created in Garmin Connect, saved with the auth command to a key file or supplied via GARMIN_PERSONAL_API_KEY. GARMIN_MCP_TIMEZONE is listed as required but defaults to the system time zone. Desktop and CLI MCP clients only.
Before you install
The Personal API key is a credential: keep it out of chats and client configs, and note it expires (30 days to 1 year) and must be replaced. The local database and FIT files hold sensitive health and GPS history. Answers are sent to your MCP client and model. Garmin deletes intraday detail after about 4-5 months, so sync regularly. Read-only toward Garmin; early-development project, not affiliated with Garmin.

Installation

In SourceWeft

  1. Open durely insights MCP for Garmin in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

durely garmin-insights-mcp

[npm] [Node] [Docker] [CI] [License]

Ask your AI assistant about your own Garmin data: your full training history, health and recovery, analysed.

durely insights is an MCP server that connects your Garmin Connect account to your AI assistant (Claude, Cursor, GitHub Copilot, Gemini CLI, Codex or any other MCP client) through Garmin's official Personal API. It keeps a copy of your history on your own machine, so you can ask about a single run or about years of training and get an answer right away.

Early development. Everything below works, but tools and options can still change before version 1.0.

Unofficial project: not affiliated with or endorsed by Garmin.

What you can ask

Activities

  • "What did I do this week?" / "Show my last 10 runs"
  • "Tell me about yesterday's run": splits, heart rate, training effect, load
  • "How did my power and heart rate evolve over the intervals of Tuesday's ride?"
  • "Compare the bike legs of my last two triathlons lap by lap"
  • "Am I getting fitter on my regular Tuesday run?"

Training

  • "How has my training load and fitness developed over the last 3 months?"
  • "Analyse Saturday's ride: time in zones, decoupling, best efforts"
  • "How many kilometres did I run, ride and swim per year?"

Health and recovery

  • "How did I sleep this week, and how was my HRV?"
  • "Does a hard training day affect my HRV the next morning?"
  • "Compare my resting heart rate and sleep score per month this year"
  • "Show my heart rate and Body Battery through yesterday"

What makes it different

  • Official API, no password. It uses a Personal API key that you create in Garmin Connect and can revoke at any time. No scraping, nothing that breaks when Garmin changes its login.
  • Your whole history, instantly. Everything is synced once to a local database and kept up to date, so trend questions over months or years don't wait on Garmin.
  • Second-by-second detail. Laps, swim lengths, heart rate, power, cadence and more come from each activity's original FIT file, including VO2max, recovery time and lactate threshold when your device records them.
  • Analysis built in. Time in zones, training load and fitness/fatigue/form, aerobic decoupling, best efforts, recovery trends and comparisons of similar sessions. For anything else, your assistant can run read-only SQL over your data.
  • Private by default. Your data stays on your machine. Your name, account ID and GPS positions are kept out of answers unless you ask for a route.
  • Read-only. It can't change anything in your Garmin account.

Quick start

You need Garmin Connect, an MCP client (Claude Code, Claude Desktop, Cursor, …) and either Node.js 24+ or Docker.

1. Create your Personal API key

  1. In Garmin Connect on the web, open Settings → Personal API Token.

  2. Create a key and pick how long it stays valid (30 days to 1 year). Garmin shows it only once, so copy it.

  3. Save it by running this in your own terminal:

    bash
    npx -y @durely/garmin-insights-mcp auth

    It asks for the key (your input stays hidden), checks it with Garmin and saves it to ~/.config/garmin/connect-personal-api-key, readable only by you. If Garmin rejects the key, nothing is saved. The server reads the key from this file, so it doesn't go in your client config.

    With Docker (no Node.js), save it to that file yourself:

    bash
    mkdir -p ~/.config/garmin && chmod 700 ~/.config/garminpbpaste > ~/.config/garmin/connect-personal-api-key    # macOS; elsewhere, paste it into this file with an editorchmod 600 ~/.config/garmin/connect-personal-api-key

Don't paste the key into a chat with your AI assistant.

2. Choose how to run it

With Node.js (npx): nothing to install. Your server command is:

bash
npx -y @durely/garmin-insights-mcp

npx downloads the npm package on first use and picks up new releases by itself. Check your key with npx -y @durely/garmin-insights-mcp auth --check. Prefer a fixed install? npm install -g @durely/garmin-insights-mcp gives you the garmin-insights command.

Or with Docker (no Node.js needed; Docker must be running). Your server command is:

bash
docker run -i --rm \  -v ~/.config/garmin/connect-personal-api-key:/run/secrets/garmin_api_key:ro \  -v garmin-mcp-data:/data \  -e GARMIN_MCP_TIMEZONE=Europe/Brussels \  ghcr.io/durely/garmin-insights-mcp

Replace Europe/Brussels with your own time zone. To check your key, run the same command with auth --check at the end. The image runs on Intel and ARM (Apple silicon, Raspberry Pi). More Docker tips are in How it works.

Or from source: clone the repo and build it with npm or Docker. See How it works.

Updating: with npx, restart your client. With Docker, run docker pull ghcr.io/durely/garmin-insights-mcp. Your synced data is kept.

3. Add it to your AI client

Claude Code:

bash
claude mcp add garmin --scope user -- npx -y @durely/garmin-insights-mcp

With Docker:

bash
claude mcp add garmin --scope user -- docker run -i --rm \  -v ~/.config/garmin/connect-personal-api-key:/run/secrets/garmin_api_key:ro \  -v garmin-mcp-data:/data \  -e GARMIN_MCP_TIMEZONE=Europe/Brussels \  ghcr.io/durely/garmin-insights-mcp

--scope user makes it available in all your projects.

Claude Desktop: open Settings → Developer → Edit Config, add this, and restart Claude Desktop:

json
{  "mcpServers": {    "garmin": {      "command": "/opt/homebrew/bin/npx",      "args": ["-y", "@durely/garmin-insights-mcp"]    }  }}

Desktop apps don't see your shell's PATH, so use the full path to npx (find it with which npx). If the log then says node isn't found, add "env": { "PATH": "/opt/homebrew/bin:/usr/bin:/bin" }, with the folder from which node first.

Claude Desktop with Docker, Cursor, VS Code, Gemini CLI, Codex CLI

Claude Desktop with Docker:

json
{  "mcpServers": {    "garmin": {      "command": "/usr/local/bin/docker",      "args": [        "run",        "-i",        "--rm",        "-v",        "/Users/you/.config/garmin/connect-personal-api-key:/run/secrets/garmin_api_key:ro",        "-v",        "garmin-mcp-data:/data",        "-e",        "GARMIN_MCP_TIMEZONE=Europe/Brussels",        "ghcr.io/durely/garmin-insights-mcp"      ]    }  }}

Use full paths here; ~ isn't expanded in JSON configs.

Cursor: the same JSON as Claude Desktop, in ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).

VS Code (GitHub Copilot agent mode): in .vscode/mcp.json, or via the command palette → MCP: Add Server:

json
{  "servers": {    "garmin": {      "type": "stdio",      "command": "npx",      "args": ["-y", "@durely/garmin-insights-mcp"]    }  }}

Gemini CLI:

bash
gemini mcp add garmin npx -- -y @durely/garmin-insights-mcp

OpenAI Codex CLI:

bash
codex mcp add garmin -- npx -y @durely/garmin-insights-mcp

Others (Windsurf, Cline, Zed, …): look for "MCP servers" in their settings. Any client that supports stdio servers works.

4. Try it

Start a new session and ask: "Check my Garmin connection." It should report connected.

The first question starts a sync in the background. Your activities are there within seconds; the rest of your history follows in a few minutes. After that, the data refreshes automatically when it's more than an hour old.

Good to know

  • Keep your key's expiry date in mind. Garmin's API doesn't tell the server when your key expires. Set GARMIN_API_KEY_EXPIRES (e.g. 2027-10-24) in your client config and garmin_status reminds you in time. With Docker, pass it to the container instead: add -e GARMIN_API_KEY_EXPIRES=2027-10-24 to the docker run arguments. Replacing the key file is enough; no restart is needed.
  • Sync at least every few months. Garmin deletes intraday detail (heart rate through the day, overnight HRV readings) after about 4–5 months. Whatever the server has synced stays in your local copy.
  • Desktop and CLI clients only, for now. The server runs on your own machine, so it doesn't work in claude.ai on the web or mobile yet.
  • Your data goes to your AI client. The server only talks to Garmin, but the answers it gives go to the MCP client and model you use.

Troubleshooting

ProblemFix
Tools don't show upStart a new session or restart the client. In Claude Code, check /mcp.
spawn npx ENOENT / server won't start (desktop apps)Use the full path to npx or docker in the config.
"No Garmin Personal API key configured"The key file is missing or not mounted. Check the path (and the -v mount for Docker).
"Garmin rejected the Personal API key"The key expired or was revoked. Create a new one and replace the file (or run auth again). auth --check tests it.
Dates are off by a daySet GARMIN_MCP_TIMEZONE to your time zone (especially in Docker). garmin_status warns when it differs from Garmin.
Want to see the tools without an AI clientnpx @modelcontextprotocol/inspector npx -y @durely/garmin-insights-mcp

Tools

You don't need to call these yourself; your assistant picks them. For reference:

ToolWhat it does
garmin_statusConnection check: key, token, time zone, key expiry
garmin_get_profileProfile settings, heart rate zones per sport, fitness age
garmin_list_activitiesSearch your activities by date, sport, name, distance or duration
garmin_get_activityOne activity in full: summary metrics, splits, structured workout
garmin_get_activity_lapsLaps from the FIT file: pace, HR, power, cadence, swim lengths, VO2max, recovery time
garmin_get_activity_streamsSecond-by-second HR, power, speed, cadence, altitude, …; zoom into any part
garmin_analyze_activityTime in zones, NP/IF/TSS, aerobic decoupling, best efforts, intervals
garmin_compare_activities2–6 activities side by side
garmin_training_summaryPer week or month: volume per sport, load, intensity, fitness/fatigue/form
garmin_recovery_trendsSleep, HRV, resting HR, Body Battery and stress against your baseline, and their link with load
garmin_get_daily_healthPer day, week or month: steps, resting HR, stress, Body Battery, calories, sleep, HRV
garmin_get_sleepNightly sleep stages, times and sleep score
garmin_get_hrvNightly HRV, 7-day average, baseline and status
garmin_get_intradayOne day hour by hour: heart rate, Body Battery, overnight HRV, SpO2
garmin_get_body_compositionWeigh-ins, body composition, weight goal
garmin_get_nutritionFood and hydration logged in Garmin Connect or a linked app
garmin_get_womens_healthMenstrual cycle tracking
garmin_queryRead-only SQL over your synced data
garmin_download_activity_fitSave an activity's original FIT file, e.g. to import elsewhere
garmin_syncSync now, go further back in time, or download all FIT files
garmin_sync_statusWhat's synced, and sync progress

In clients that support prompts (often as slash commands), weekly_review, activity_deep_dive and recovery_check start a guided analysis.

Configuration

All optional; set them as environment variables in your client config.

VariableDefaultPurpose
GARMIN_API_KEY_EXPIRESYour key's expiry date (yyyy-MM-dd), for reminders
GARMIN_MCP_TIMEZONEsystem time zoneYour time zone (IANA name, e.g. Europe/Brussels)
GARMIN_PERSONAL_API_KEYThe key itself, instead of the key file
GARMIN_PERSONAL_API_KEY_FILE~/.config/garmin/connect-personal-api-keyWhere the key file is
GARMIN_MCP_DATA_DIR~/.garmin-insights-mcpWhere your synced data is kept
GARMIN_MCP_AUTO_SYNCtrueRefresh automatically when the data is over an hour old
GARMIN_MCP_DETAIL_DAYS150Days of intraday detail (HR, overnight HRV, SpO2) to keep synced
GARMIN_MCP_REQUESTS_PER_SECOND4Request throttle; Garmin publishes no limits
GARMIN_MCP_LOG_LEVELinfodebug, info, warn or error (logs go to stderr)

In Docker, the key file and data directory are /run/secrets/garmin_api_key and /data.

Privacy and security

  • Your key stays on your machine. It's exchanged for a 24-hour token, cached with owner-only permissions. The server never writes the key itself. To revoke access, delete the key in Garmin Connect.
  • No telemetry. The server only talks to Garmin's Personal API.
  • Your synced data is sensitive. The local database and FIT files hold your health and activity history, including GPS tracks. The data directory is readable only by you (in Docker it lives in the garmin-mcp-data volume).
  • Identity and location stay out of answers. Your name, profile picture and account ID are removed before anything is stored. GPS positions are only returned when you ask for route or location analysis (or query an activity's start and end point with SQL).

More

  • How it works: the local cache and sync, FIT files, how the numbers are calculated, Docker details, development

License

Apache-2.0. See LICENSE and NOTICE.

Data provided by Garmin devices via Garmin Connect; the analyses are insights derived in part from Garmin device-sourced data. Garmin and Garmin Connect are trademarks of Garmin Ltd. or its subsidiaries. This project is not affiliated with or endorsed by Garmin.

Source: README.md at commit 467977d

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.5.2LatestOct 29, 2026

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