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1 month ago
glama

Garmin MCP

MCP server that exposes Garmin Connect health and activity data (steps, sleep, stress, activities, etc.) via tools for querying, analysis, and visualization.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 3 credentials: SMTP_PASSWORD, LLM_API_KEY, GARMIN_PASSWORD
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configSMTP_HOST"": "smtp.gmail.com",
configSMTP_PORT"": "587",
configSMTP_USER"": "your-email@gmail.com",
🔐 secretSMTP_PASSWORD"": "your-app-password",
configSMTP_FROMno Sender address (defaults to SMTP_USER)
configSMTP_TO"": "recipient@example.com",
configSMTP_USE_SSLno "true" for implicit SSL (port 465); default uses STARTTLS
configOUTPUT_DIR"": "/Users/user.mac/garmin_data/",
configLLM_PROVIDER"openai" LLM provider for LIDA
configLLM_API_BASE"": "http://localhost:1234/v1",
🔐 secretLLM_API_KEY"": "lm-studio",
configLLM_MODEL"": "your-loaded-model-name"
configGARTH_SESSION_PATH
configGARMIN_EMAIL"": "your-garmin-email@example.com",
🔐 secretGARMIN_PASSWORD"": "your-password",
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/lokranjanp-garminmcp-1h4wve)](https://m8ven.ai/mcp/lokranjanp-garminmcp-1h4wve)
commit: 00b42c11c6f50c6aae5d7a9032b4f5ee3adf58f1
code hash: 73b71a61be16d4a934cdccdf22340276b24b5eaffb30ce5f1a788ea04c8fc45e
verified: 6/22/2026, 12:14:54 PM
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