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Biostudies MCP Server

@EBIBioStudies

基本信息

分类

其他

许可证

Apache-2.0 license

传输方式

stdio

作者

EBIBioStudies

关于 Biostudies MCP Server

暂无概览

Biostudies MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

Biostudies MCP Server 工具

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当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is biostudies-mcp-server?

biostudies-mcp-server is a proof-of-concept (POC) implementation of an MCP (Model Context Protocol) server designed for searching the BioStudies database. It is primarily intended for use with Claude Desktop to enable biological data queries through the MCP protocol.

How to use biostudies-mcp-server?

Install Node.js and follow the MCP quickstart guide at modelcontextprotocol.io. Alternatively, use pip: pip install mcp followed by mcp install server.py to register the server with an MCP-compatible client.

Key features of biostudies-mcp-server

  • Proof-of-concept MCP server for BioStudies search
  • Integrates with Claude Desktop via MCP protocol
  • Simple installation via pip or Node.js
  • Follows standard MCP server conventions

Use cases of biostudies-mcp-server

  • Query BioStudies database through Claude Desktop
  • Integrate BioStudies search into MCP-enabled applications
  • Prototype MCP server for biological data retrieval
  • Test MCP capabilities with a real scientific database

常见问题

1

What does biostudies-mcp-server do?

It provides an MCP server that allows searching the BioStudies database from any MCP-compatible client (e.g., Claude Desktop). The implementation is currently a proof of concept.

2

How do I install biostudies-mcp-server?

You can either use Node.js: install Node.js and follow the MCP quickstart guide; or use Python: run `pip install mcp` then `mcp install server.py` to register the server.

3

What are the system requirements?

You need either Node.js (for the standard MCP integration path) or Python with the `mcp` package installed.

4

Is biostudies-mcp-server production-ready?

No, it is a proof-of-concept implementation intended for testing and demonstration purposes only.

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