69
/ 100
6 days ago
glama

Training Condition Check MCP

Provides personalized recommendations for optimal outdoor exercise times by integrating weather data, Garmin Connect training schedules, and user performance metrics.

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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 1 credential: deepseek_api_key
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.
🔐 secretdeepseek_api_key
configdeepseek_base_url
configchat_model
configGARMINTOKENS
// 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 5 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/sojakaese-training-condition-check-mcp-1fghq5)](https://m8ven.ai/mcp/sojakaese-training-condition-check-mcp-1fghq5)
commit: ac0c9e96f180539ccc89e4ccd74ef645d94aec93
code hash: 98242568580397fa2c8cbf84816c252554d0f017188fe069c04087603806ad25
verified: 6/22/2026, 12:12:23 PM
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