the-momentum/fhir-mcp-server

Overview

A Python-based MCP server that exposes FHIR (Fast Healthcare Interoperability Resources) medical data operations through the Model Context Protocol. It allows AI agents to query, create, and update healthcare records using standard FHIR APIs.

Best for

Best for
Developers building AI agents that need to interact with FHIR-based electronic health records.

Use cases

• Integrate FHIR-compliant health data into AI assistant workflows
• Enable natural language queries over patient records and clinical resources
• Automate healthcare data entry and retrieval via MCP-compatible clients

How to use

Tools exposed

• Security
• MASTER_KEY
• FHIR_SERVER_HOST
• FHIR_BASE_URL
• FHIR_SERVER_CLIENT_ID
• FHIR_SERVER_CLIENT_SECRET
• LOINC_ENDPOINT
• LOINC_USERNAME
• LOINC_PASSWORD
• PINECONE_API_KEY
• EMBEDDING_MODEL
• request_patient_resource
• request_observation_resource
• request_condition_resource
• request_medication_resource
• request_immunization_resource
• request_encounter_resource
• request_allergy_intolerance_resource
• request_family_member_history_resource
• request_generic_resource

Tested with

Claude Desktop

Example client config

{\n      "mcpServers": {\n         "uv-mcp-server": {\n            "command": "uv",\n            "args": [\n               "run",\n               "--frozen",\n               "--directory",\n               "<your-project-path>",\n               "start"\n            ],\n            "env": {\n            "PATH": "<uv-bin-folder-path>"\n            }\n         }\n      }\n   }

Notes

A Python-based MCP server that exposes FHIR (Fast Healthcare Interoperability Resources) medical data operations through the Model Context Protocol. It allows AI agents to query, create, and update healthcare records using standard FHIR APIs.

86 stars on GitHub. Last updated 2025-10-23. Licensed MIT.

Use cases

• Integrate FHIR-compliant health data into AI assistant workflows
• Enable natural language queries over patient records and clinical resources
• Automate healthcare data entry and retrieval via MCP-compatible clients

Pros

• Leverages the widely adopted FHIR standard for healthcare data exchange
• Lightweight Python implementation with 86 GitHub stars and active maintenance
• Works with any MCP client, enabling flexible AI agent integration

Cons

• Requires a running FHIR server or endpoint to function
• Limited to FHIR R4 capabilities; may not support all custom extensions
• Small community and documentation compared to larger healthcare tools

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.