Biostudies Mcp Server

1 Apache-2.0

FreeCommunity

AI Systems

A POC MCP server for BioStudies search, integrates with Claude Desktop.

What is Biostudies Mcp Server

biostudies-mcp-server is a proof of concept (POC) implementation of an MCP server designed for BioStudies search, facilitating the integration of biological study data.

Use cases

Use cases for biostudies-mcp-server include searching for biological study data, integrating biological data into applications, and facilitating data sharing among researchers.

How to use

To use biostudies-mcp-server, install Node.js and follow the instructions provided at https://modelcontextprotocol.io/quickstart/user. Alternatively, you can use pip to install the MCP package and run the server using the command ‘mcp install server.py’.

Key features

Key features of biostudies-mcp-server include easy integration with Claude Desktop, support for biological data searches, and the ability to run on Node.js and Python environments.

Where to use

biostudies-mcp-server can be used in fields such as bioinformatics, biological research, and data management for biological studies.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Biostudies Mcp Server

biostudies-mcp-server is a proof of concept (POC) implementation of an MCP server designed for BioStudies search, facilitating the integration of biological study data.

Use cases

Use cases for biostudies-mcp-server include searching for biological study data, integrating biological data into applications, and facilitating data sharing among researchers.

How to use

Key features

Key features of biostudies-mcp-server include easy integration with Claude Desktop, support for biological data searches, and the ability to run on Node.js and Python environments.

Where to use

biostudies-mcp-server can be used in fields such as bioinformatics, biological research, and data management for biological studies.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

biostudies-mcp-server

This is a POC implementation for an MCP server for BioStudies search. To integrate this with Claude Desktop, please install Node.js and follow instructions on https://modelcontextprotocol.io/quickstart/user.

You can also use

pip install mcp
mcp install server.py

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

Recommend MCP Servers

Tavily MCP Server The Tavily MCP server provides: search, extract, map, crawl tools Real-time web search capabilities through the tavily-search tool Intelligent data extraction from web pages via the tavily-extract tool Powerful web mapping tool that creates a structured map of website Web crawler that systematically explores websites.

MCP Server Chart This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools. You can also use it in Dify.

GitHub MCP Server MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.

Brave Search MCP Server Web and local search using Brave's Search API

Firecrawl MCP Server Advanced web scraping with JavaScript rendering, PDF support, and smart rate limiting

Context7 MCP LLMs rely on outdated or generic information about the libraries you use. You get:

Slack MCP server Channel management and messaging capabilities

Sequential Thinking MCP Server Dynamic and reflective problem-solving through thought sequences

Fetch MCP Server A Model Context Protocol server that provides web content fetching capabilities.

Playwright MCP A Model Context Protocol (MCP) server that provides browser automation capabilities using [Playwright](https://playwright.dev). This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

View All MCP Servers