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glama

AuthWeaver MCP

Extracts prior-authorization evidence from synthetic FHIR data to create structured evidence packets for clinicians. It utilizes an LLM to identify medical-necessity details and clinical summaries from FHIR resources.

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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.
// 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 2 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/sneijder003-authweaver-mcp-29fm6k)](https://m8ven.ai/mcp/sneijder003-authweaver-mcp-29fm6k)
commit: 7b94ce28704c816f8211e0f4e782b59d1e17c295
code hash: eaa9da352674b3967fc6d33c4f135d40a07b6b48d5388fd68cd1c8fcd76038d0
verified: 6/14/2026, 11:04:06 AM
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