
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
Health & Wellness · Developer Tools

deak-ai/openehr-mcp-server
An MCP (Model Context Protocol) server designed to interface with openEHR REST APIs, specifically the EHRbase implementation. This server enables MCP clients like Claude Desktop to create compositions for openEHR templates and submit them to a server. For production grade EHR integrations you must use an AI Model where you can ensure data privacy.
docker run -i --rm --network=host -e EHRBASE_URL=http://localhost:8080/ehrbase/rest -e EHRBASE_JSON_FORMAT=wt_flat ctodeakai/openehr-mcp-server:latest{
"mcpServers": {
"openEHR": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--network=host",
"-e",
"EHRBASE_URL=http://localhost:8080/ehrbase/rest",
"-e",
"EHRBASE_JSON_FORMAT=wt_flat",
"ctodeakai/openehr-mcp-server:latest"
]
}
}
}See https://modelcontextprotocol.io/introduction for more information about MCP.
openehr_template_get
Retrieve a specific openEHR template by its unique identifier
openehr_template_example_composition
Generate an example openEHR composition based on a specific template
openehr_ehr_create
Create a new EHR in the system
openehr_ehr_get
Retrieve an EHR by its ID
openehr_ehr_get_by_subject
Get an EHR by subject ID and namespace
openehr_composition_create
Create a new openEHR composition in the Electronic Health Record
openehr_composition_get
Retrieve an existing openEHR composition by its unique identifier
openehr_composition_update
Update an existing openEHR composition in the Electronic Health Record
openehr_composition_delete
Delete an existing openEHR composition from the Electronic Health Record
openehr_query_adhoc
Execute an ad-hoc AQL query against the openEHR server
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

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nexgene-research/nexonco-mcp
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Kartha-AI/agentcare-mcp
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christianhinge/dicom-mcp
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jmandel/health-record-mcp
This project acts as a specialized server providing tools for Large Language Models (LLMs) and other AI agents to interact with Electronic Health Records (EHRs). It leverages the SMART on FHIR standard for secure data access and the Model Context Protocol (MCP) to expose the tools.

r-huijts/strava-mcp
Connect Claude to your Strava account and ask questions in plain English: "How far did I run this month?", "Analyze my last ride", or "Show me my fastest segments.".