garmin-givemydata 0.1.8

Get your Garmin Connect data back. Browser-based extraction + 47-table SQLite database + MCP server for AI analysis.

garmin-givemydata

It's YOUR data. Take it back.

Garmin makes it nearly impossible for individuals to access their own health data programmatically. There is no public API. The official "developer program" is restricted to approved businesses only. And in March 2026, Garmin deployed aggressive Cloudflare protections that broke every single community library — garth (deprecated), python-garminconnect (broken auth), and all downstream tools like Home Assistant integrations.

You paid for the hardware. You generated the data with your body. You should be able to access it.

This project gets your data out of Garmin Connect and into a local SQLite database where you own it and AI can analyze it through an MCP server for Claude Code.

47 tables, 10+ years of history, 44 MCP tools for AI analysis. Your data stays on your machine.

The Problem

• No public API: Garmin's Connect Developer Program requires a business application. Individual developers are denied.
• garth is dead: The most popular auth library was deprecated on March 28, 2026 after Garmin changed their SSO flow.
• Bot detection: Garmin deployed aggressive bot detection that blocks all known Python HTTP libraries. Every existing workaround stopped working.
• python-garminconnect is broken: Depends on garth for auth. Issue #332 has 40+ comments from affected users.
• Connect+ paywall: Garmin launched a $7/month subscription and is restricting third-party access to features that compete with it.

Nobody should buy Garmin products until they open their API to the people who paid for the hardware.

Quick Start

Install

# macOS
brew install nrvim/tap/garmin-givemydata

# pip (Linux / Windows / macOS)
pip install garmin-givemydata

# or clone
git clone https://github.com/nrvim/garmin-givemydata.git
cd garmin-givemydata && ./setup.sh

Fetch your data

garmin-givemydata                    # fetches all historical data + FIT files

First run prompts for credentials, launches a headless browser, and fetches your full history (~30 min for 10 years). After that, daily syncs take seconds.

Connect AI

Add the MCP server to Claude Code, Claude Desktop, or any MCP client. The config depends on how you installed:

Homebrew or pip install — garmin-mcp is already in your PATH:

{
  "mcpServers": {
    "garmin": {
      "command": "garmin-mcp"
    }
  }
}

Git clone — use absolute paths to the venv:

{
  "mcpServers": {
    "garmin": {
      "command": "/absolute/path/to/garmin-givemydata/venv/bin/python",
      "args": ["/absolute/path/to/garmin-givemydata/run_mcp.py"],
      "cwd": "/absolute/path/to/garmin-givemydata"
    }
  }
}

Save this as:

• Claude Code: .mcp.json in your project root, or ~/.claude/settings.json under mcpServers for global access
• Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Restart your client and run /mcp to approve the server. Then ask:

"How was my sleep this week?"
"Am I overtraining? Check my HRV and recovery"
"Compare my fitness this month vs last month"
"Give me a full sports medicine health check"

Windows, OpenClaw, and other MCP clients

Windows (git clone)

{
  "mcpServers": {
    "garmin": {
      "command": "C:\\Users\\jane\\code\\garmin-givemydata\\venv\\Scripts\\python.exe",
      "args": ["C:\\Users\\jane\\code\\garmin-givemydata\\run_mcp.py"],
      "cwd": "C:\\Users\\jane\\code\\garmin-givemydata"
    }
  }
}

Other MCP clients (OpenClaw, Cline, Cursor)

Any client supporting MCP stdio transport can connect. For pip/brew: garmin-mcp. For git clone:

/path/to/garmin-givemydata/venv/bin/python /path/to/garmin-givemydata/run_mcp.py

Important: Paths must be absolute — relative paths will not work.

What You Get

• ALL your data in one command — 47 tables, activities with splits/weather/HR zones, original FIT files
• 10+ years of history fetched automatically, smart incremental sync after that
• 44 MCP tools for AI analysis — not just raw data, but tools with clinical context, anomaly detection, and professional training metrics
• Export to anything — CSV, JSON, GPX, TCX from your local database
• Your data stays local — nothing is sent anywhere

MCP Tools (44)

The MCP server gives AI assistants deep access to your health data. Every tool returns data + context — not just numbers, but trend direction, anomaly flags, clinical thresholds, and goal attainment.

Data & Sync (3 tools)

Tool	What It Does
garmin_sync	Check data freshness and pull latest data from Garmin — always shows when the last sync happened. Use refresh=False to just check status
garmin_schema	Show all 47 tables, columns, and row counts
garmin_query	Run any read-only SELECT query (read-only enforced at the SQLite engine level)

Daily Overview (3 tools)

Tool	What It Does
garmin_today	Complete snapshot: daily summary, last night's sleep, training readiness, HRV, fitness age, last activity
garmin_week_summary	Current week's totals vs goals: steps, intensity minutes, floors, calories
garmin_health_summary	Health overview for any date range with all metrics aggregated

Health Metrics (13 tools) — enriched with trends, anomaly flags, clinical thresholds

Tool	What It Does
garmin_heart_rate	Resting HR with 7-day rolling average and anomaly detection (flags >5 bpm spikes)
garmin_hrv	HRV with baseline position, BALANCED/UNBALANCED streak, trend direction
garmin_sleep	Per-night breakdown with stages, deep/REM %, SpO2, stress, Garmin feedback
garmin_stress	Time-in-zone breakdown (hours in low/medium/high per day)
garmin_body_battery	Charge/drain patterns with wake values and sleep quality correlation
garmin_spo2	Clinical threshold flags (<95% warning, <80% sleep apnea recommendation)
garmin_respiration	Waking respiration with elevated-day flags (>20 breaths/min)
garmin_steps	Steps with goal attainment % and longest goal-met streak
garmin_floors	Floors climbed vs goal with ascent/descent breakdown
garmin_calories	Calorie breakdown: total, active, BMR, consumed
garmin_intensity_minutes	Weekly intensity vs WHO 150 min/week target, moderate vs vigorous
garmin_hydration	Fluid intake vs Garmin-calculated goal
garmin_blood_pressure	Readings with AHA guideline flags (>140/90 mmHg)

Training & Performance (13 tools) — includes tools unique to this project

Tool	What It Does
garmin_training_load	CTL/ATL/TSB — professional periodization metrics with weekly volume and load by sport
garmin_recovery	Post-workout recovery signatures — RHR/HRV/body battery tracking after hard sessions, by sport
garmin_compare	Side-by-side period comparison — any two date ranges, all metrics, deltas + % changes
garmin_activities	List/filter activities by type and date — power, HR, training load, location
garmin_activity_detail	Deep-dive: splits, HR zones, weather, exercise sets in one call
garmin_race_predictions	5K/10K/half/marathon times with human-readable formatting and trend
garmin_endurance_score	Endurance score with classification tier and trend
garmin_hill_score	Hill score with endurance and strength sub-scores
garmin_vo2max	VO2max estimates from activities and dedicated tracking
garmin_training_status	Status history (Productive/Recovery/Detraining) with transition detection
garmin_fitness_age	Fitness age vs chronological age trajectory with gap analysis
garmin_records	All PRs with human-readable names (Fastest 5K, Longest Ride, etc.)
garmin_trends	Weekly/monthly trends for 17 metrics

Profile & Devices (12 tools)

Tool	What It Does
garmin_user_profile	Profile and settings from Garmin Connect
garmin_devices	Connected devices with type and last sync
garmin_gear	Equipment tracking (shoes, bikes, etc.)
garmin_badges	Earned achievements with dates
garmin_body_composition	Weight, BMI, body fat, muscle mass history
garmin_workouts	Workout library, training plans, scheduled workouts
garmin_goals	Active fitness goals
garmin_challenges	Garmin Connect challenges
garmin_health_snapshot	On-demand 2-minute health readings (HR, HRV, SpO2, stress)
garmin_daily_events	Daily events (stress spikes, body battery events)
garmin_activity_types	All activity type definitions
garmin_hr_zones	Heart rate zone definitions per sport

Usage

Fetch (from Garmin Connect)

garmin-givemydata                              # smart sync (all data + FIT files)
garmin-givemydata --full                       # force full historical re-fetch
garmin-givemydata --days 90                    # fetch last 90 days
garmin-givemydata --since 2025-01-01           # fetch from specific date
garmin-givemydata --profile health             # health metrics only
garmin-givemydata --profile activities         # activities + FIT files only
garmin-givemydata --profile sleep              # sleep data only
garmin-givemydata --no-files                   # skip FIT file downloads
garmin-givemydata --status                     # check database contents

FIT file download only

garmin-givemydata --fit-only --latest          # latest FIT file
garmin-givemydata --fit-only --date 2026-03-30 # specific date
garmin-givemydata --fit-only --days 7          # last 7 days
garmin-givemydata --fit-only                   # all FIT files

Export (from local database)

garmin-givemydata --export ./output            # CSV + JSON
garmin-givemydata --export-gpx ./gpx           # GPX (for Strava, Komoot)
garmin-givemydata --export-tcx ./tcx           # TCX (for TrainingPeaks)

Supported export formats

Format	Content	How
SQLite	Health + activities	Default — always created
FIT (ZIP)	Activities (lossless)	Default — downloaded automatically
CSV	Health + activities	--export ./dir
JSON	Health + activities	--export ./dir
GPX	Activities (GPS tracks)	--export-gpx ./dir
TCX	Activities (XML)	--export-tcx ./dir

Browser engines

Engine	Flag	Headless	Cloudflare bypass
Camoufox (default)	none	Yes	Yes
Chrome	--chrome --visible	Needs --visible for first login	Only with visible window

Where data is stored

Install method	Data location
Homebrew / pip	~/.garmin-givemydata/
Git clone	Current directory
Custom	Set GARMIN_DATA_DIR env var

garmin.db              # SQLite database (all health + activity data)
browser_profile/       # Browser session (persists ~1 year)
.env                   # Garmin credentials
fit/                   # Original FIT files (lossless)

Comprehensive data — 47 tables

Category	Data
Daily Health	Steps, calories, distance, floors, intensity minutes, active/sedentary time
Heart Rate	Resting HR, min/max HR, 7-day average
Stress	Average/max stress, stress duration by level, stress qualifier
Body Battery	Charged/drained values, highest/lowest, wake value, sleep value
Sleep	Duration by stage (deep/light/REM/awake), SpO2 during sleep, sleeping HR, respiration, sleep score
SpO2	Average, lowest, latest readings
Respiration	Waking average, highest, lowest
HRV	Weekly average, last night, baseline ranges, status
Training Readiness	Score, level, factor breakdowns (HRV, sleep, stress, recovery, load ratio)
Endurance Score	Overall score, classification tier, VO2max precise value
Hill Score	Overall score, endurance sub-score, strength sub-score
Race Predictions	Predicted times for 5K, 10K, half marathon, marathon
Activities	45+ fields per activity: duration, distance, HR, power, cadence, elevation, TSS, training effect, VO2max, GPS, temperature, laps
Activity Splits	Per-km/mile splits with pace, HR, elevation, cadence
Activity HR Zones	Time spent in each HR zone per activity
Activity Weather	Temperature, humidity, wind speed/direction during activity
Activity Exercise Sets	Strength training: exercise name, reps, weight, duration per set
Weight	Weight, BMI, body fat, body water, bone mass, muscle mass
VO2max	Running and cycling VO2max trend over time
Blood Pressure	Systolic, diastolic, pulse
Calories	Total, active, BMR, consumed, remaining
Fitness Age	Chronological age vs fitness age
Personal Records	All PRs across all activity types
Earned Badges	All badges earned with date and category
Devices	All registered Garmin devices and sensors
Gear	Shoes, bikes, etc. with brand, model, usage tracking
Training Status	Daily and weekly training status (productive, recovery, etc.)
Health Status	Overall daily health status assessment
Hydration	Daily goal and intake in ml

Architecture

Project structure and data flow

garmin-givemydata/
├── garmin_givemydata.py       # Main entry: smart sync (full or incremental)
├── garmin_client/              # Playwright-based Garmin Connect client
│   ├── client.py               #   GarminClient (login, fetch, export)
│   └── endpoints.py            #   API endpoint definitions
├── garmin_mcp/                 # MCP server + database layer
│   ├── db.py                   #   SQLite schema (47 tables), upsert helpers
│   ├── server.py               #   FastMCP server with 44 tools
│   ├── export.py               #   CSV, JSON, GPX, TCX export
│   ├── import_json.py          #   JSON → SQLite bulk import
│   └── sync.py                 #   Incremental sync engine
├── run_mcp.py                  # MCP server entry point
├── garmin.db                   # Your health data (SQLite, gitignored)
├── fit/                        # Your activity files (FIT/ZIP, gitignored)
├── browser_profile/            # Browser session (gitignored)
└── pyproject.toml

Data flow:

Garmin Connect ──→ SQLite (health + activity metrics)
                └─→ fit/ (original FIT files, lossless)

SQLite ──→ MCP server (AI queries via 44 tools)
       ├─→ CSV/JSON (--export)
       └─→ GPX/TCX (--export-gpx, --export-tcx)

Platform Support

Platform	Status	Notes
macOS	Tested	Primary development platform
Linux (Ubuntu/Debian/Fedora)	Supported	May need playwright install-deps for system libraries
Windows 10/11	Supported	Use PowerShell or Command Prompt
WSL2	Supported	Works headless with Camoufox

Manual setup (if setup script doesn't work)

macOS

brew install python@3.12
cd garmin-givemydata
python3.12 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python -m playwright install chromium   # only for --chrome fallback
cp .env.example .env

Ubuntu / Debian

sudo apt update && sudo apt install python3.12 python3.12-venv
cd garmin-givemydata
python3.12 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python -m playwright install chromium
sudo python -m playwright install-deps chromium
cp .env.example .env

Fedora / RHEL

sudo dnf install python3.12
cd garmin-givemydata
python3.12 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python -m playwright install chromium
sudo python -m playwright install-deps chromium
cp .env.example .env

Windows

Install Python 3.10+ from python.org — check "Add to PATH".

cd garmin-givemydata
python -m venv venv
venv\Scripts\Activate.ps1
pip install -r requirements.txt
python -m playwright install chromium
copy .env.example .env

If PowerShell blocks the activate script: Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser

Troubleshooting

Common issues and fixes

"Login failed": Delete the browser profile and run again. For pip/brew: rm -rf ~/.garmin-givemydata/browser_profile. For git clone: rm -rf browser_profile/.

Script crashed / "Execution context was destroyed": If using --chrome --visible, don't close the Chrome window. Run again.

"Python not found": Make sure Python 3.10+ is on your PATH. macOS: brew install python@3.12. Ubuntu: sudo apt install python3.12 python3.12-venv.

403 or session errors: Session expired. Delete the browser profile and re-login.

Chrome doesn't open (Linux): Use the default Camoufox engine (no display needed), or install Xvfb: sudo apt install xvfb && xvfb-run python garmin_givemydata.py.

Playwright install fails (Linux): sudo python -m playwright install-deps

MCP server "failed to connect": Paths in .mcp.json must be absolute. Test: <path>/venv/bin/python <path>/run_mcp.py

Empty data for some metrics: Training readiness, HRV, body battery, endurance score, hill score, and race predictions require compatible devices (Fenix 7+, Forerunner 265+, Venu 3+, etc.).

Windows: "execution of scripts is disabled": Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser

How Garmin compares to competitors

Company	Open API for Individuals?	Real-time Access?	Data Portability Grade
Oura	Yes — free, any ring owner	Yes, REST API	A+
WHOOP	Yes — free, any member	Yes, API + webhooks	A+
Fitbit	Yes — personal app type	Yes, REST API	A
Apple Health	Yes — HealthKit on-device	Yes, on-device	A-
Polar	Yes — any developer	Partial	B+
Garmin	No — business-only	No	D
COROS	No — partner-only	No	D+
Samsung	No — deprecated SDK	On-device only	D
Amazfit/Zepp	No	No	F

Contributing

How to help

• New endpoints: Garmin has hundreds of internal APIs. Discover new ones via browser dev tools and add them to endpoints.py.
• More MCP tools: The server has 44 tools including CTL/ATL/TSB, recovery signatures, and period comparison. Ideas: injury risk prediction, sleep optimization, race readiness scoring, overtraining detection.
• MCP client integrations: Test with OpenClaw, Cline, Continue, Cursor, or other clients.
• Other platforms: ARM (Raspberry Pi), Docker, etc.
• Data visualization: Dashboards, charts, reports from SQLite.
• Export formats: Parquet, or other formats for pandas, R.
• Other wearables: The architecture (browser auth + SQLite + MCP) could work for COROS, Samsung, Amazfit/Zepp.
• Testing: Tests, CI, more platform support.

Open an issue or submit a PR.

Support This Project

• Star this repository — helps others discover the project
• Report issues — improve stability and compatibility
• Spread the word — share with other Garmin users
• Contribute code — new endpoints, MCP tools, export formats, bug fixes
• File a GDPR/CCPA request with Garmin — the more users who formally request data portability, the harder it is to ignore

Acknowledgments

Standing on the shoulders of the community

• garth by @matin — 350k+ monthly PyPI downloads before deprecation. The auth library that powered the Garmin Python ecosystem.
• python-garminconnect by @cyberjunky — 2,000+ stars, 127+ API methods. The endpoint catalog was informed by their work.
• GarminDB by @tcgoetz — 3,000+ stars. Pioneered SQLite-first Garmin data storage.
• garmin-connect-export — Reliable activity export (GPX, TCX, FIT, JSON).
• garmin-data-export — Garmin data into LLM-readable text files.
• garmy — AI-first Garmin data access with MCP support.

Your legal right to your data (GDPR, CCPA, EU Data Act)

EU/EEA — GDPR

Article 20 — Right to Data Portability grants the right to receive personal data in a "structured, commonly used and machine-readable format." This covers raw sensor data (heart rate, sleep, steps, SpO2). Derived metrics (training readiness, fitness age) are covered under Article 15 — Right of Access.

United States — CCPA

Section 1798.100(d) requires businesses to provide personal information in a "readily useable format that allows the consumer to transmit this information from one entity to another entity without hindrance."

EU Data Act (Since September 2025)

Article 3 explicitly requires IoT manufacturers to make data available "without undue delay, free of charge, and, where applicable, continuously and in real-time." A Garmin watch is an IoT device. The data it generates belongs to the user.

If Garmin provided an open API, this tool would not need to exist.

Disclaimer

This tool is unofficial and not affiliated with Garmin. It accesses Garmin Connect using your own credentials to retrieve your own data. Use may violate Garmin's Terms of Service. You assume all risk and responsibility. See the full disclaimer for details.

License

AGPL-3.0 — Free to use, modify, and distribute. If you build a service using this code, you must keep it open source.