fhir-synthetic-mcp
Related Servers
Alternatives to fhir-synthetic-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceAn MCP server that enables LLMs to securely query synthetic clinical data through validated, scoped tools (patient summaries, conditions, medications, lab trends, encounters) while maintaining audit logs and access controls.-
- FlicenseNot gradedqualityDmaintenanceA comprehensive MCP server that bridges AI applications with FHIR healthcare data systems, enabling patient data access, clinical data retrieval, and data quality assessment.4-
- FlicenseNot gradedqualityCmaintenanceMCP server with a fictitious clinical database to develop and test agents, providing tools to search patients and retrieve full medical records (inpatient, outpatient, emergency) via HTTP streamable transport.-
- AlicenseAqualityCmaintenanceMCP server for FHIR interoperability, enabling natural language querying and manipulation of clinical data with full CRUD operations, semantic search, and RAG capabilities.13MIT
- AlicenseAqualityBmaintenanceA Claude-compatible MCP server that exposes health-domain tools over 100% synthetic data, built with security and compliance in mind.4MIT
- AlicenseNot gradedqualityCmaintenanceA clean-room SHARP-on-MCP compliant FHIR R4 MCP server that enables AI agents to interact with any FHIR R4 endpoint using SHARP context headers, without server-side OAuth. It provides clinical tools, lab results, imaging, and interactive MCP-UI dashboards.MIT
TDQS
Scored across 10 tools
Each tool targets a distinct action and resource: listing vs reading patients, searching guidelines vs trials, proposing vs approving/rejecting writes. No two tools appear to do the same thing.
All tool names follow a consistent snake_case verb_noun pattern (list_patients, get_patient, search_guidelines, approve_write). The convention is uniform across the entire set.
With 10 tools, the server is well-scoped for its purpose: patient data access, clinical searches, and a human-in-the-loop write workflow. Each tool serves a clear role without excessive overlap or bloat.
The core workflow is covered: list/get patients, list observations, propose and approve/reject observations, plus guideline and trial searches. Minor gaps exist (e.g., no update/delete for observations, no patient creation), but these are not critical for the synthetic FHIR use case.