
Garmin MCP Server
Enables ChatGPT to access and analyze personal Garmin health data including daily steps, heart rate, calories, sleep duration, and body battery levels. Collects data via webhook from Garmin devices and provides health insights through natural language queries.
README
Garmin MCP Server
A webhook receiver and MCP (Model Context Protocol) server that collects Garmin health data and makes it available to ChatGPT through OpenAI's Remote MCP integration.
Features
- Garmin Webhook Receiver: Accepts health data from Garmin devices
- SQLite Persistence: Stores data in SQLite database on EFS for reliability
- MCP Integration: Provides health data to ChatGPT via OpenAI's Remote MCP
- AWS Deployment: Runs on ECS Fargate with Terraform infrastructure
- Rate Limiting: Protects webhook endpoints from abuse
Architecture
Garmin Device → Webhook → SQLite DB → MCP Server → ChatGPT
Data Collected
- Daily step count
- Resting heart rate
- Active calories burned
- Sleep duration
- Body battery levels
Quick Start
Local Development
- Clone the repository:
git clone https://github.com/yourusername/garmin-mcp.git
cd garmin-mcp
- Install dependencies:
npm install
- Set up environment variables:
cp env.example .env
# Edit .env with your configuration
- Build and run:
npm run build
npm start
Docker
docker-compose up --build
Local HTTPS (Cloudflare Quick Tunnel)
You can expose your local server with a temporary public HTTPS URL (no DNS or account needed):
brew install cloudflared
./scripts/cloudflared-quick.sh
This prints a https://<random>.trycloudflare.com
URL. Use it for testing endpoints:
- Webhook:
https://<random>.trycloudflare.com/garmin/webhook
- Health:
https://<random>.trycloudflare.com/healthz
Environment Variables
Variable | Description | Required |
---|---|---|
PORT |
Server port (default: 8080) | No |
MCP_API_TOKEN |
Bearer token for MCP authentication | Yes |
GARMIN_WEBHOOK_SECRET |
Secret for webhook signature verification | No |
GARMIN_API_KEY |
Garmin Health API key | No |
GARMIN_API_SECRET |
Garmin Health API secret | No |
API Endpoints
Webhook
POST /garmin/webhook
- Receives Garmin health data
MCP (Model Context Protocol)
GET /mcp/tools
- Lists available toolsPOST /mcp/tools/call
- Executes a toolGET /mcp/sse
- Server-sent events endpoint
Health
GET /healthz
- Health check endpoint
MCP Tools
garmin.getDailySummary
Get daily health summary for a user and date.
Parameters:
user_id
(string, required): User identifierdate
(string, optional): Date in YYYY-MM-DD format (defaults to today)
garmin.getRecentDays
Get health data for the last N days.
Parameters:
user_id
(string, required): User identifierdays
(number, optional): Number of days to retrieve (default: 7)
Versioning & Deployment
Versioning Strategy
We use git-based versioning for Docker images:
- Git Tags: Create semantic version tags (e.g.,
v1.0.0
,v1.1.0
) - Docker Tags: Images are tagged with both the git version and
latest
- Rollback: Can easily rollback by updating ECS task definition to use a previous version
Creating a Release
# 1. Create a git tag for the release
git tag v1.0.0
# 2. Build and push with versioning
cd terraform
./build-and-push.sh
# 3. Deploy to ECS
aws ecs update-service --cluster garmin-mcp-cluster --service garmin-mcp-service --force-new-deployment
Version History
- v0.1.0: Initial release with SQLite persistence and integration tests
- Next:
v1.0.0
- Production ready with Cloudflare Tunnel deployment
Rollback Process
# List available versions in ECR
aws ecr describe-images --repository-name garmin-mcp --query 'imageDetails[*].imageTags' --output table
# Update task definition to use specific version
aws ecs update-service --cluster garmin-mcp-cluster --service garmin-mcp-service --task-definition garmin-mcp-task:REVISION_NUMBER
Deployment
AWS with Terraform (Cost Optimized - ~$9/month)
Our infrastructure uses a cost-optimized architecture with Cloudflare Tunnel for secure access:
- ECS Fargate: Single task with 0.25 vCPU, 0.5GB RAM
- No NAT Gateway: Saves ~$33/month by using public IP for outbound only
- Cloudflare Tunnel: Provides secure HTTPS access without public inbound traffic
- EFS Storage: SQLite database persistence (~$0.30/month)
Prerequisites
- Cloudflare Account: Create a tunnel and get the tunnel token
- AWS Credentials: Configure AWS CLI access
- Domain: Optional - for custom hostname instead of trycloudflare.com
Deploy Steps
-
Create Cloudflare Tunnel:
# Install cloudflared brew install cloudflared # Login to Cloudflare cloudflared tunnel login # Create tunnel cloudflared tunnel create garmin-mcp # Get tunnel token (save this) cloudflared tunnel token garmin-mcp
-
Configure Terraform:
cd terraform # Create terraform.tfvars with your tunnel token echo 'cloudflare_tunnel_token = "your-tunnel-token-here"' > terraform.tfvars
-
Deploy:
./deploy.sh
-
Configure Tunnel Route (optional):
# For custom domain cloudflared tunnel route dns garmin-mcp webhook.yourdomain.com
Security Benefits
- No Public Inbound: Security group blocks all incoming traffic
- Outbound Only: Task can make outbound connections (Docker images, Cloudflare)
- Encrypted Tunnel: All traffic encrypted through Cloudflare's edge
- Cost Effective: No NAT Gateway or ALB required
Manual Deployment
- Build the Docker image
- Push to ECR
- Deploy to ECS Fargate
Privacy
This is a personal, non-commercial project. See PRIVACY.md for details on data collection and usage.
License
Personal use only. This project is not intended for commercial use.
Contributing
This is a personal project, but suggestions and improvements are welcome through issues and discussions.
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