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Fhir Mcp Suite MCP Server

by Pcmedsinge
Developer ToolsLow Risk9.2MCP RegistryLocal
Free

Server data from the Official MCP Registry

LOINC/SNOMED CT/RxNorm/ICD-10 lookup, search, translation and ValueSet expansion via FHIR.

About

LOINC/SNOMED CT/RxNorm/ICD-10 lookup, search, translation and ValueSet expansion via FHIR.

Security Report

9.2
Low Risk9.2Low Risk

Valid MCP server (2 strong, 1 medium validity signals). 1 known CVE in dependencies ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

10 files analyzed · 2 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

What You'll Need

Set these up before or after installing:

Base URL of the FHIR terminology server (default: https://tx.fhir.org/r4)Optional

Environment variable: TERMINOLOGY_BASE_URL

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-pcmedsinge-mcp-terminology": {
      "env": {
        "TERMINOLOGY_BASE_URL": "your-terminology-base-url-here"
      },
      "args": [
        "mcp-terminology"
      ],
      "command": "uvx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

fhir-mcp-suite

Three coherent MCP servers for clinical AI — FHIR R4, terminologies, and clinical reasoning.

CI mcp-fhir PyPI mcp-terminology PyPI mcp-clinical-reasoner PyPI MCP Registry Glama License Python

What's in the suite

ServerStatusInstallWhat it does
mcp-fhir✅ v1.1.1 on PyPIuvx mcp-fhirFHIR R4 read/search + HAPI profile validation
mcp-terminology✅ v1.0 on PyPIuvx mcp-terminologyUnified LOINC / SNOMED / RxNorm / ICD-10 lookup + ValueSet expansion
mcp-clinical-reasoner✅ v1.0 on PyPIuvx mcp-clinical-reasonerDrug interactions (OpenFDA), dose check, allergy conflicts

Why this suite is different

Every FHIR MCP server available today (June 2026) is a read proxy — they retrieve resources but never tell you whether the resource is valid. mcp-fhir adds HAPI profile validation as a first-class MCP tool. Composing fhir_read → validate_against_profile in one Claude session enables clinical AI pipelines that are actually safe.

Three sharp differentiators:

  1. Profile validation built into mcp-fhir — HAPI validator sidecar, US Core + IPS profiles supported out of the box
  2. Composable suite — three coherent servers sharing one install, one config convention, one eval harness
  3. Production rigor — latency benchmarks, golden-query eval suite, structured JSON logs, /health + LangFuse traces

Quick start — mcp-fhir

# 1-command install (requires Python 3.12+)
uvx mcp-fhir

# Validate a Patient against US Core
# (requires HAPI validator sidecar — see docker-compose.yml)
uvx mcp-fhir --transport sse  # or set MCP_TRANSPORT=sse

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json
(Windows: %APPDATA%\Claude\claude_desktop_config.json):

{
  "mcpServers": {
    "fhir": {
      "command": "uvx",
      "args": ["mcp-fhir"],
      "env": {
        "FHIR_BASE_URL": "https://hapi.fhir.org/baseR4"
      }
    },
    "terminology": {
      "command": "uvx",
      "args": ["mcp-terminology"]
    },
    "clinical-reasoner": {
      "command": "uvx",
      "args": ["mcp-clinical-reasoner"]
    }
  }
}

Local dev stack

# Start HAPI FHIR + validator + Postgres
docker compose up hapi-fhir hapi-validator postgres

# Install workspace
uv sync

# Run unit tests
uv run pytest -m "not integration and not eval"

# Run mcp-fhir locally (stdio, points at local HAPI)
FHIR_BASE_URL=http://localhost:8081/fhir \
HAPI_VALIDATOR_URL=http://localhost:8082 \
  uv run mcp-fhir

Repo layout

fhir-mcp-suite/
├── packages/
│   ├── mcp-fhir/              # PyPI: mcp-fhir          ✅ v1.1
│   ├── mcp-terminology/       # PyPI: mcp-terminology   ✅ v1.0
│   └── mcp-clinical-reasoner/ # PyPI: mcp-clinical-reasoner ✅ v1.0
├── shared/                    # structlog, LangFuse, base Pydantic models, eval harness
├── evals/                     # golden query sets per server
├── docs/                      # MkDocs Material site
├── .github/workflows/         # ci.yml (matrix) + release.yml (per-package PyPI on tag)
├── docker-compose.yml         # all 3 + HAPI validator + Postgres
├── pyproject.toml             # uv workspace root
└── mkdocs.yml

Releases

PackageVersionReleased
mcp-fhirv1.1June 2026
mcp-terminologyv1.0June 2026
mcp-clinical-reasonerv1.0June 2026

Contributing

See CONTRIBUTING.md. Apache-2.0 licensed — PRs welcome.

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