74
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10 hours ago
glama

apple-health-semantic-mcp

Query Apple Health export data with an LLM via a semantic layer that avoids common data traps, enabling accurate natural-language queries about health metrics. Optionally imports CPAP therapy data for correlation.

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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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configHEALTH_DATA_DIR"": "/absolute/path/to/health-data"
// 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 1 concrete improvement 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/barbaroso-apple-health-semantic-mcp-169uqm)](https://m8ven.ai/mcp/barbaroso-apple-health-semantic-mcp-169uqm)
commit: 258e3706511f9addc3dcf10bd7cb62142abab5e0
code hash: a536083051a19db4d5487e73ed47c9953b7927d6c5c2922f9ec20ab175a81be6
verified: 7/31/2026, 9:10:03 AM
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