# Biomcp Server

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

- Skill: `majiayu000/biomcp-server` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/biomcp-server`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/biomcp-server/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/biomcp-server

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# All Rights Reserved.
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---
name: biomcp-server
description: 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
metadata:
  author: BioMCP Team
  version: "1.0.0"
compatibility:
  - system: MCP-compliant clients
allowed-tools:
  - web_fetch
---

# BioMCP Server

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

## 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`.


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