
人类/生命科学是从 https://github.com/anthropics/life-sciences. 导入的 MCP 服务器候选项目
概览
人类/生命科学是从 https://github.com/anthropics/life-sciences. 导入的 MCP 服务器候选项目
概述(AI 翻译)
该市场为生命科学工具提供MCP(模型上下文协议)服务器和技能。安装这些插件即可直接访问Claude代码中的专业研究和分析工具。
包含内容:
- MCP 服务器:连接外部服务如 PubMed、BioRender、Synapse 等
- 技能:扩展Claude专业知识的领域特定工作流程和分析能力
快速启动
对于需要认证的服务器(除PubMed外),安装后请配置凭证:
- 在 Claude Code 中类型
/plugin - 选择“管理插件”
- 找到你安装的服务器
- 选择“配置”
- 输入所需凭证
- 重启 Claude 代码
可用插件
远程MCP服务器
PubMed
插件ID:pubmed@life-sciences
搜索并访问PubMed上的生物医学文献和研究文章。
需求:无——所有用户均可访问
生物渲染
插件ID:biorender@life-sciences
创建并访问科学插图和图表。
要求:免费BioRender账户(https://www.biorender.com)
####Synapse.org
插件ID:synapse@life-sciences
本页由 AI 翻译,技术细节请以原文为准。
README
Life Sciences Marketplace for Claude Code
This marketplace provides skills for life sciences research. Skills are domain-specific workflows that extend Claude’s expertise.
Quick Start
# Add the marketplace
/plugin marketplace add anthropics/life-sciences
# Install skills
/plugin install clinical-trial-protocol@life-sciences
/plugin install scientific-problem-selection@life-sciences
/plugin install binder-gauntlet@life-sciences
Available Skills
Clinical Trial Protocol
Plugin ID: clinical-trial-protocol@life-sciences
Generate FDA/NIH-compliant clinical trial protocols for medical devices or drugs.
Scientific Problem Selection
Plugin ID: scientific-problem-selection@life-sciences
Systematic framework for scientific problem selection and strategic research decisions. Based on Fischbach & Walsh’s methodology from Cell (2024), this skill helps researchers with project ideation, risk assessment, troubleshooting stuck projects, and strategic scientific planning.
Use cases:
- Pitch and refine new research ideas
- Evaluate project risks and feasibility
- Navigate decision trees in active projects
- Strategic research planning and problem choice
Clinical Trial Forecast
Plugin ID: clinical-trial-forecast@life-sciences
Estimate the probability that a registered clinical trial meets its goal, with a cited report and the simulation model behind the number. Runs in Claude Science; see the skill’s README.
Binder Gauntlet
Plugin ID: binder-gauntlet@life-sciences
Validate de novo designed protein binders with independent re-prediction and controls, profile their developability, and write a dossier that states what was not checked. All results are computational predictions.
Removed Plugins
This repository has been refocused on skills, so it no longer carries MCP connector plugins. If you installed one, it will no longer update from this marketplace. Earlier versions remain available in the git history.
The following skills were also removed: instrument-data-to-allotrope, nextflow-development, scvi-tools and single-cell-rna-qc.
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手?先看 mcpskill.org 教程 →