aegis-follow-up-mcp

DaymondGoulderHorobin/aegis-follow-up-mcp
★ 0 stars Python 🤖 AI/LLM Updated today
Prompt Opinion MCP server for unresolved abnormal result follow-up using synthetic FHIR data
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "aegis-follow-up-mcp": {
      "command": "uvx",
      "args": [
        "aegis-follow-up-mcp"
      ]
    }
  }
}

Or install with pip: pip install aegis-follow-up-mcp

README Excerpt

Aegis Follow-Up is a clinician-review MCP safety layer that turns patient-context data into auditable follow-up tasks, controlled AI summaries, and handoff-ready payloads. Clinical decision support only. For clinician review. Not a diagnosis or treatment directive. The GitHub repository and Render service are now `aegis-follow-up-mcp`. The Python

Tools (14)

assess_follow_up_prioritycreate_follow_up_handoff_payloaddraft_clinician_noteexplain_result_decisionsfind_unresolved_abnormal_resultsgenerate_ai_follow_up_briefgenerate_follow_up_briefget_fhir_connection_statusget_patient_snapshotget_recent_observationslist_follow_up_taskslist_rule_profilesupdate_follow_up_task_statusvalidate_fhir_context_connection