Medplum MCP Server

Medplum MCP Server

Enables interaction with Medplum's FHIR data through the Model Context Protocol, allowing LLMs to access and manage healthcare data.

Category
Visit Server

README

Medplum MCP Server

Demo MCP server that proxies requests to Medplum, allowing you to use the Model Context Protocol (MCP) with Medplum's FHIR data.

What is Model Context Protocol (MCP)?

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.

Setup

Create a .env file with MEDPLUM_BASE_URL:

# To use Medplum hosted:
MEDPLUM_BASE_URL=https://api.medplum.com/

# To use a local Medplum server:
MEDPLUM_BASE_URL=http://localhost:8103

By default, this MCP proxy server runs on port 8104. You can change the port by setting the PORT environment variable in your .env file:

# Change the port to 5000
PORT=5000

Run dev server

To run the development server, use the following command:

npm run dev

Run production server

First, build the production server:

npm run build

Then, start the production server:

nohup node --max-old-space-size=8192 dist/main.cjs &

Testing with MCP Inspector

Start the inspector:

npx @modelcontextprotocol/inspector

Testing Streamable HTTP

Set "Transport Type" to "Streamable HTTP" (recommended transport).

Set "URL" to the /stream path on your server, e.g. http://localhost:8104/stream.

Testing SSE

Set "Transport Type" to "SSE" (required by Claude and ChatGPT).

Set "URL" to the /sse path on your server, e.g. http://localhost:8104/sse.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured