AIbase
EN
Explore
MCP Server BioRxiv
M

MCP Server BioRxiv

The medRxiv MCP Server is a bridge tool connecting AI assistants and the medRxiv preprint library, enabling functions such as searching for preprints, retrieving metadata, and accessing content in the field of health science through the Model Context Protocol (MCP). It supports local storage and paper analysis prompts.
Research and dataSearch tools#Paper search#Research assistance#Health science#MCP protocol.Python
2 points
12

What is the medRxiv MCP Server?

This is a service tool specifically designed for AI assistants, connecting to the medRxiv preprint database through the Model Context Protocol (MCP) interface. It allows non - technical users to search for and read the latest medical research papers through natural language instructions, supporting literature research and analysis in the field of health science.

How to use the medRxiv MCP Server?

Simply install this service in a supported AI assistant (such as Claude Desktop), and you can query papers through natural language. The system will automatically handle the complex retrieval process and return the results in an easy - to - read format.

Use cases

Suitable for medical researchers to quickly understand the latest developments in the field, students to find references, clinicians to track cutting - edge treatment plans, and any scenario that requires systematic analysis of medical literature.

Main features

Intelligent paper searchSupports querying the medRxiv database using natural language and advanced retrieval syntax, and can filter conditions such as time range and author.
Metadata retrievalAutomatically extracts structured information such as paper titles, authors, and abstracts for quick browsing.
Local cache systemAutomatically saves recently accessed papers to reduce repeated download time.
Intelligent analysis templatesBuilt - in professional paper analysis processes automatically generate research summaries and key point analyses.

Advantages and limitations

Advantages
Access professional medical literature without programming knowledge
The retrieval speed is more than 10 times faster than manual operation
Support mixed Chinese - English queries
Automatically save historical records for easy backtracking
Limitations
Only includes medRxiv preprints, not formal journals
Full - text downloads may be missing for some old papers
The core functions require an internet connection

How to use

Install the service
Install with one - click through Smithery or manually configure the operating environment.
Configure the AI assistant
Add MCP server settings to the Claude Desktop configuration file.
Start querying
After restarting the AI assistant, you can search for papers using natural language.

Usage examples

Search for research on a specific diseaseA clinician needs to understand the latest treatment progress for Parkinson's disease.
In - depth analysis of a single paperA graduate student needs to systematically review a specific paper.

Frequently Asked Questions

Do I need to pay for a medRxiv subscription?
How do the search results differ from those on the official website?
Does it support exporting in reference format?

Related resources

medRxiv official website
The official website of the preprint database
GitHub repository
Project source code and update logs
MCP protocol description
Model Context Protocol technical specification
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "biorxiv": {
      "command": "python",
      "args": ["-m", "medrxiv-mcp-server"]
      }
  }
}

{
  "mcpServers": {
    "biorxiv": {
      "command": "C:\\Users\\YOUR_USERNAME\\AppData\\Local\\Programs\\Python\\Python311\\python.exe",
      "args": [
        "-m",
        "medrxiv-mcp-server"
      ]
    }
  }
}

{
  "mcpServers": {
    "medrxiv": {
      "command": "bash",
      "args": [
        "-c",
        "source /home/YOUR/PATH/mcp-server-bioRxiv/.venv/bin/activate && python /home/YOUR/PATH/mcp-server-bioRxiv/medrxiv_server.py"
      ],
      "env": {},
      "disabled": false,
      "autoApprove": []
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
S
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
TypeScript
348
4 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
837
4.3 points
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
253
4 points
B
Bing Search MCP
An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.
Python
234
4 points
M
Modelcontextprotocol
Certified
This project is an implementation of an MCP server integrated with the Sonar API, providing real-time web search capabilities for Claude. It includes guides on system architecture, tool configuration, Docker deployment, and multi-platform integration.
TypeScript
1.1K
5 points
B
Bilibili MCP Js
Certified
A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.
TypeScript
250
4.2 points
F
Firecrawl MCP Server
The Firecrawl MCP Server is a Model Context Protocol server integrating Firecrawl's web - scraping capabilities, providing rich web - scraping, searching, and content - extraction functions.
TypeScript
3.9K
5 points
R
Rednote MCP
RedNote MCP is a tool that provides services for accessing Xiaohongshu content. It supports functions such as authentication management, keyword - based note search, and command - line initialization, and can access note content via URL.
TypeScript
454
4.5 points
Featured MCP Services
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
837
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
97
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
150
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
572
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
761
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2025AIbase