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BioMCP

ASecurity

Deploy and operate the BioMCP server so MCP-compatible clients (Claude Desktop, LobeChat, etc.) can query biomedical databases via a single standardized interface.

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  • Added February 7, 2026
devopspythongorailsdockerapidatabase

Works with

  • claude desktop
  • cli
  • api
  • mcp

Security analysis

A92/100
  • mediumInstalls packages at runtime which could introduce malicious dependencies

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Scanned February 12, 2026

npx -y skills add mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills- --skill BioMCP --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: biomcp-server
description: Deploy and operate the BioMCP server so MCP-compatible clients (Claude Desktop, LobeChat, etc.) can query biomedical databases via a single standardized interface.
---

## At-a-Glance
- **description (10-20 chars):** MCP bio bridge
- **keywords:** MCP, PubMed, ClinicalTrials, server, uv
- **measurable_outcome:** Stand up a working BioMCP endpoint (pip or uv) and return ≥1 PubMed + ≥1 ClinicalTrials.gov response to the client within 10 minutes.
- **license:** MIT | **version:** 1.0.0 (MCP-compliant clients)
- **allowed-tools:** `web_fetch` (per upstream spec)

## When to Use
- Unified literature search (PubMed/PMC) inside MCP clients.
- Entity normalization via PubTator3 or genomic variant lookups.
- ClinicalTrials.gov queries without bespoke API wrappers.

## Core Capabilities
1. **PubMed/PMC search:** Execute complex literature queries.
2. **PubTator3 annotations:** Map text to genes, diseases, chemicals, species.
3. **ClinicalTrials.gov:** Retrieve trial metadata/protocols.
4. **Genomic variant lookups:** Fetch variant/gene summaries from connected sources.

## Deployment Workflow
1. **Install deps:** `cd repo && uv sync` (preferred) or `pip install .`.
2. **Run server:** `python -m biomcp.server` or `make run`; Docker Compose provided.
3. **Configure client:** Add command/args snippet from `README.md` into MCP client config (Claude Desktop, BioKernel, etc.).
4. **Test tools:** Invoke PubMed + ClinicalTrials + variant endpoints to ensure connectivity.
5. **Monitor:** Capture logs, rate-limit statuses, and data-source versions for audit.

## Guardrails
- Keep API keys/env secrets outside the repo.
- Respect upstream rate limits to avoid throttling or bans.
- Document which data sources are enabled per deployment and update when they change.

## References
- Source repo + configuration examples in `README.md`, `repo/docker-compose.yml`, and `repo/Makefile`.

Files in this skill

  • README.md777 B
  • SKILL.md1.9 KB
  • bio_mcp_server.py2.3 KB
  • repo/.github/actions/setup-python-env/action.yml719 B
  • repo/.github/dependabot.yml493 B
  • repo/.github/workflows/ci.yml4.4 KB
  • repo/.github/workflows/deploy-docs.yml973 B
  • repo/.github/workflows/main.yml.disabled1.8 KB
  • repo/.github/workflows/on-release-main.yml2.4 KB
  • repo/.github/workflows/validate-codecov-config.yml352 B
  • repo/.gitignore1.8 KB
  • repo/.pre-commit-config.yaml1.3 KB
  • repo/BIOMCP_DATA_FLOW.md7.4 KB
  • repo/CHANGELOG.md14.8 KB
  • repo/CNAME11 B
  • repo/Dockerfile1 KB
  • repo/LICENSE1 KB
  • repo/Makefile2.8 KB
  • repo/README.md16.5 KB
  • repo/THIRD_PARTY_ENDPOINTS.md14.3 KB

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