AuthWeaver

AuthWeaver is an MCP server tool that extracts prior-authorization evidence from synthetic FHIR data and returns a structured evidence packet for clinicians.

What It Does

• Receives SHARP context (patient ID + optional FHIR server URL + token)
• Queries a synthetic FHIR server for relevant resources
• Uses an LLM to extract medical-necessity evidence
• Returns a strict JSON evidence packet

Safety & Privacy

• Stateless: no patient data stored
• Data-minimized FHIR queries
• Output is structured for audit review
• Synthetic/de-identified data only

Quick Start (Local)

1. python -m venv venv
2. venv\Scripts\activate (Windows) or source venv/bin/activate (macOS/Linux)
3. pip install -r requirements.txt
4. Copy .env.example to .env and set an LLM key
5. python server.py

MCP Tool

Tool name: extract_prior_auth_evidence

Inputs:

• procedure_name (string)
• sharp_context (object, optional)
• patient_id (string, optional, dev only)

Output (JSON):

• procedure
• criteria_met (list of evidence items)
• criteria_not_met (list)
• clinical_summary

Demo Flow

1. Prompt Opinion agent invokes extract_prior_auth_evidence with SHARP context.
2. AuthWeaver pulls synthetic FHIR data and extracts evidence.
3. Agent displays the evidence packet in the clinician workflow.

Notes

• The MCP SDK wiring may differ based on Prompt Opinion docs. This repo includes a best-effort MCP server plus a FastAPI fallback for local testing.
• Use only synthetic data (Synthea or public FHIR sandbox).