bioevidence-mcp
Click on "Install 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., "@bioevidence-mcpfind recent evidence on BRCA1 mutations and breast 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.
BioEvidence MCP
Evidence-grounded biomedical retrieval and summarization through the Model Context Protocol.
Repository: github.com/mihir19/bioevidence-mcp
The distribution name is bioevidence-mcp. The Python import namespace
remains bioreason for backward compatibility with existing integrations.
Research use only. No diagnosis, treatment recommendations, or patient data.
Setup
Install Python 3.12 and uv, then install the project dependencies:
uv syncManual testing
Call the health tool directly through FastMCP:
uv run fastmcp call src/bioreason/server.py healthThe structured result should be:
{
"status": "ok",
"version": "0.1.1"
}To run the MCP server over the default stdio transport:
uv run fastmcp run src/bioreason/server.py:mcpEvaluation
Run the deterministic, network-free release gate:
uv run python -m bioreason.evaluation.runner \
--mode offline \
--output evaluation/reports/offline-report.json \
--markdown evaluation/reports/offline-report.mdRun one explicitly selected live integration case:
uv run --env-file .env python -m bioreason.evaluation.runner \
--mode live \
--case-id brca1-c68-69delag \
--output evaluation/reports/live-brca1.json \
--markdown evaluation/reports/live-brca1.mdOffline evaluation is deterministic and CI-safe. Live evaluation requires network access, and exact evidence counts may change. OpenAI is optional: missing summarizer configuration produces an incomplete integration case without losing retrieval results. Evaluation establishes citation provenance and eligibility, not clinical validity or complete semantic entailment. See evaluation/README.md.
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