{
"mcpServers": {
"medplum-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
Demo MCP server that proxies requests to Medplum, allowing you to use the Model Context Protocol (MCP) with Medplum's FHIR data.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 63 days ago. 5 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Persistent memory using a knowledge graph
Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
MCP Security Weekly
Get CVE alerts and security updates for Medplum Mcp Server and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
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.
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
To run the development server, use the following command:
npm run dev
First, build the production server:
npm run build
Then, start the production server:
nohup node --max-old-space-size=8192 dist/main.cjs &
Start the inspector:
npx @modelcontextprotocol/inspector
Set "Transport Type" to "Streamable HTTP" (recommended transport).
Set "URL" to the /stream path on your server, e.g. http://localhost:8104/stream.
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.