Clinical Intelligence MCP Server
Provides optional grounding with Vertex AI Google Search, requiring a Google Cloud project.
Provides search capabilities for biomedical literature via the NCBI E-utilities, allowing queries to PubMed.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Clinical Intelligence MCP Serversearch clinical trials for lung cancer"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Clinical Intelligence MCP Server - MVP 1
What this MVP includes
ClinicalTrials.gov v2 search
PubMed search via NCBI E-utilities
Open Targets target lookup
openFDA regulatory context
Optional Vertex AI Google Search grounding
FastMCP over Streamable HTTP for LibreChat
Related MCP server: OpenFDA FastMCP Server
Local setup
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txt
cp .env.example .env
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000Health checks
curl http://localhost:8000/health
curl http://localhost:8000/health/sourcesMCP endpoint
Useful test URLs
curl "http://localhost:8000/health/sources"Pytest
pytest -qVertex AI Google Search grounding
This is optional.
Set:
GOOGLE_CLOUD_PROJECT GOOGLE_CLOUD_LOCATION=global ENABLE_VERTEX_WEB_SEARCH=true
Also ensure your environment has Google Cloud credentials available.
If this is disabled, the rest of the server still works.
This server cannot be deployed
Maintenance
Related MCP Connectors
Search 36M+ PubMed biomedical articles and ClinicalTrials.gov studies.
Search FDA safety data: drug adverse events, recalls, and device events.
Semantic search across 5 US government healthcare databases.
Connect AI clients to biomedical data and tools.
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