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 Server search 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.
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
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 8000curl http://localhost:8000/health
curl http://localhost:8000/health/sourcescurl "http://localhost:8000/health/sources"pytest -qThis 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
Search 36M+ PubMed biomedical articles and ClinicalTrials.gov studies.
Linked life-science search: 43M+ papers, 1.2M+ trials, drugs, genes, FDA/EMA approvals, patents.
Search FDA safety data: drug adverse events, recalls, and device events.
Search ClinicalTrials.gov: find studies, retrieve results, match patients to candidate trials.