AI Skill Hub 强烈推荐:生物医学模型 是一款优质的MCP工具。AI 综合评分 8.0 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
生物医学模型 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
生物医学模型 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/genomoncology/biomcp
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"------": {
"command": "npx",
"args": ["-y", "biomcp"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 生物医学模型 执行以下任务... Claude: [自动调用 生物医学模型 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"______": {
"command": "npx",
"args": ["-y", "biomcp"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
One binary. One grammar. Evidence from the biomedical sources you already trust.
A project using BioMCP won St. Jude's KIDS BioHackathon in 2025. The talk that followed is a one-hour introduction to BioMCP, recorded October 24, 2025.
Watch on YouTube · Read the write-up · Full transcript
User prompt: Give me a low-noise overview of BRAF in melanoma.
Expected tool call: biomcp search all --gene BRAF --disease melanoma --counts-only
Expected behavior: Returns a cross-entity counts summary that orients the next command instead of dumping long detail tables.
Expected output: Counts-first summary with suggested next commands for the highest-yield entity follow-ups.
- Search the literature: search article fans out across PubTator3 and Europe PMC, deduplicates PMID/PMCID/DOI identifiers, and can add a Semantic Scholar leg when your filters support it. - Pivot without rework: move from a gene, variant, drug, disease, pathway, protein, or article straight into the next built-in view instead of rebuilding filters by hand. - Choose a playbook: biomcp skill list shows shipped worked examples so you can open the matching biomcp skill <slug> workflow. - Analyze studies locally: study commands cover local query, cohort, survival, compare, and co-occurrence workflows with native terminal, SVG, and PNG charts for downloaded cBioPortal-style datasets. - Follow the paper trail: article citations, article references, article recommendations, and article entities turn one known paper into a broader evidence map. - Enrich and batch: use biomcp enrich for top-level g:Profiler enrichment and biomcp batch for up to 10 focused get calls in one command.
curl -fsSL https://biomcp.org/install.sh | bash
```bash uv tool install biomcp-cli
```
PyPI package warning: installbiomcp-cli, notbiomcp. ThebiomcpPyPI package is unrelated to this project.
MCP Registry ownership marker: mcp-name: io.github.genomoncology/biomcp.
This installs the biomcp binary in ~/.local/bin. If that directory is not already on PATH, the installer prints one command to add it; it never edits your shell startup files.
docker run --rm ghcr.io/genomoncology/biomcp --version
docker run --rm ghcr.io/genomoncology/biomcp list
docker run --rm -i ghcr.io/genomoncology/biomcp serve
Use the GHCR image for quick CLI checks or stdio MCP clients without a local install.
Install guided investigation workflows into your agent directory:
biomcp skill install ~/.claude --force
BioMCP rate limiting is process-local. For many concurrent workers, run one shared Streamable HTTP biomcp serve-http endpoint so all workers share a single limiter budget:
biomcp serve-http --host 0.0.0.0 --port 8080 \
--allowed-hosts biomcp.example.org
Loopback servers accept only local Host values by default. A non-loopback bind requires --allowed-hosts. The explicit --unsafe-allow-any-host escape hatch disables only this Host check; it does not add authentication, TLS, or encryption. Put remote deployments behind a trusted authenticated TLS proxy or inside a private network.
Remote clients should connect to http://<host>:8080/mcp. Lightweight process probes are available at GET /health, GET /readyz, and GET /.
First useful query in under 30 seconds:
uv tool install biomcp-cli
biomcp health --apis-only
biomcp skill list
biomcp list gene
biomcp search all --gene BRAF --disease melanoma # unified cross-entity discovery
biomcp get gene BRAF pathways hpa
User prompt: Show OncoKB therapy evidence for BRAF V600E.
Expected tool call: biomcp variant oncokb "BRAF V600E"
Expected behavior: Uses ONCOKB_TOKEN when configured and otherwise returns helpful guidance about the missing credential.
Expected output: Therapy and level evidence when ONCOKB_TOKEN is set, or a clear setup hint when it is not.
User prompt: Show scored DisGeNET associations for TP53.
Expected tool call: biomcp get gene TP53 disgenet
Expected behavior: Uses DISGENET_API_KEY to retrieve the scored gene-disease association section.
Expected output: Ranked disease-association table with evidence counts and scores when DISGENET_API_KEY is configured.
The directory bundle exposes only the optional settings needed for the first reviewer-facing build:
| Claude Desktop field | Runtime env var | Purpose |
|---|---|---|
| OncoKB Token | ONCOKB_TOKEN | Enables biomcp variant oncokb "<gene> <variant>" therapy and level evidence |
| DisGeNET API Key | DISGENET_API_KEY | Enables scored DisGeNET sections on gene and disease lookups |
| Semantic Scholar API Key | S2_API_KEY | Improves reliability for article TLDR, citation, reference, and recommendation helpers |
The first directory build exposes only those three optional settings. Advanced CLI-only env vars remain documented in API Keys for the general BioMCP CLI path.
Most commands work without credentials. Optional keys improve rate limits or unlock optional enrichments:
export NCBI_API_KEY="..." # ClinVar, PubTator, PubMed/efetch, PMC OA, NCBI ID converter
export S2_API_KEY="..." # Optional Semantic Scholar auth; dedicated quota at 1 req/sec
export OPENFDA_API_KEY="..." # OpenFDA rate limits
export NCI_API_KEY="..." # NCI CTS trial search (--source nci)
export ONCOKB_TOKEN="..." # OncoKB variant helper
export ALPHAGENOME_API_KEY="..." # AlphaGenome variant effect prediction
search article, get article, article batch, get article ... tldr, and the explicit Semantic Scholar helpers all work without S2_API_KEY. With the key, BioMCP sends authenticated requests and uses a dedicated rate limit at 1 req/sec. Without it, BioMCP uses the shared unauthenticated pool at 1 req/2sec. search article --source supports all, pubtator, europepmc, pubmed, semanticscholar, and litsense2. The default compatible article federation uses PubTator3, Europe PMC, PubMed, and automatic Semantic Scholar; use --source semanticscholar or --source litsense2 explicitly when you want one of those sources alone. Explicit source selection also disables cross-provider row enrichment. References and recommendations can be empty for paywalled papers because of publisher elision in Semantic Scholar upstream coverage.
Install the biomcp binary first, then add the hosted plugin marketplace and install the BioMCP plugin in Claude Code:
/plugin marketplace add genomoncology/biomcp
/plugin install biomcp@biomcp
The plugin wires Claude Code to the local stdio MCP server with biomcp serve. For guided BioMCP workflows, also install the skill assets below.
Install BioMCP from the Anthropic Directory in Claude Desktop when that path is available for your environment. For local/manual setups, use the JSON MCP config below.
BioMCP 是一个专为生物医学研究设计的统一命令行工具。它通过单一的语法,打破了不同生物医学数据源之间 API、标识符和搜索习惯的壁垒。无论是研究人员、临床医生还是 AI Agent,都可以使用相同的指令在各类权威公共数据与本地研究分析之间无缝切换,获取以证据为导向的精简结果,告别繁琐的数据检索迷宫。
BioMCP 提供强大的文献检索能力,支持在 PubTator3 和 Europe PMC 中进行去重搜索,并可扩展至 Semantic Scholar。其核心优势在于“无缝切换(Pivot)”功能,允许用户从基因、变体、药物、疾病、通路或文章直接跳转到下一个视图,无需手动重构过滤器。此外,用户还可以根据需求选择不同的预设 Playbook 来优化工作流。
您可以通过两种方式安装 BioMCP:1. 二进制安装:使用 curl 命令 `curl -fsSL https://biomcp.org/install.sh | bash` 直接部署;2. PyPI 工具安装:使用 uv 工具执行 `uv tool install biomcp-cli` 进行快速安装。
BioMCP 支持极速上手,通过简单的命令即可实现跨实体发现。例如,使用 `biomcp suggest` 获取查询建议,或使用 `biomcp search all` 进行统一的跨实体检索。对于需要特定证据支持的场景,如查询 OncoKB 疗法证据,只需配置好 `ONCOKB_TOKEN`,即可通过 `biomcp variant oncokb` 获取详细的治疗等级信息。
BioMCP 支持通过环境变量进行配置,特别是在集成到 Claude Desktop 时。您可以配置 `ONCOKB_TOKEN` 以启用 OncoKB 的疗法证据查询,或配置 `DISGENET_API_KEY` 等参数。对于本地或手动设置,可以通过修改 Claude Desktop 的 JSON MCP 配置文件来管���运行时环境变量。
大多数 BioMCP 命令无需凭证即可运行。若需提升访问频率限制(Rate Limits)或解锁更丰富的增强功能,可以配置可选的 API Key,例如 `NCBI_API_KEY`(用于 PubTator/PubMed)、`S2_API_KEY`(用于 Semantic Scholar)以及 `OPENFDA_API_KEY` 等。
BioMCP 提供了灵活的工作流集成方案:1. Claude Code 插件:先安装 biomcp 二进制文件,随后在 Claude Code 中通过插件市场添加并安装 `biomcp@biomcp`,通过 `biomcp serve` 将 Claude Code 连接到本地 stdio MCP server;2. Claude Desktop 扩展:可通过 Anthropic Directory 直接安装,或通过本地 JSON MCP 配置进行手动集成。
高质量的开源MCP工具,具有较高的实用价值
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,生物医学模型 是一款质量优秀的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | biomcp |
| 原始描述 | 开源MCP工具:BioMCP: Biomedical Model Context Protocol。⭐534 · Rust |
| Topics | aibioinformaticsgenomicsllm |
| GitHub | https://github.com/genomoncology/biomcp |
| License | MIT |
| 语言 | Rust |
收录时间:2026-07-01 · 更新时间:2026-07-03 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端