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, downloading, and accessing the content of medical preprints through the Model Context Protocol, and supporting local storage and academic analysis.
Research and dataSearch tools#Medical research#Paper retrieval#AI assistance#Academic tool.Python
2 points
8.3K
Open Site

Overview

Installation

Content Details

Alternatives

What is the medRxiv MCP Server?

This is a service tool specifically designed for AI assistants, capable of intelligently searching for scientific research papers on the medRxiv medical preprint platform. It acts like a medical literature assistant for AI, helping to quickly find the latest health science research results.

How to use this service?

After installation and configuration, simply use natural language instructions (e.g., 'Find the latest research on COVID-19 vaccines') to obtain paper information without complex technical operations.

Applicable scenarios

Suitable for medical researchers to quickly obtain cutting - edge results, AI - assisted literature reviews, and the development of clinical decision - support systems. Particularly suitable for users who need to track medical progress in real - time.

Main functions

Intelligent paper search
Supports natural language queries and can accurately retrieve medRxiv papers according to conditions such as keywords, authors, and time ranges.
Complete metadata acquisition
Can obtain complete metadata information such as paper titles, authors, abstracts, and DOIs.
Local paper storage
Automatically saves downloaded papers locally to improve subsequent access speed.
In - depth analysis support
Provides professional paper analysis templates to help systematically evaluate research results.
Advantages
AI assistants can directly obtain the latest medical research results without manually browsing websites.
Search results are structured for easy subsequent analysis and citation.
The local caching mechanism significantly improves the efficiency of repeated access.
Seamlessly integrates with AI platforms such as Claude for a smooth user experience.
Limitations
Only supports the medRxiv platform and does not include other medical databases.
Preprint papers have not undergone peer review, so caution is required when using them.
Advanced search syntax requires a certain learning cost.

How to use

Install the service
Install via Smithery with one - click or manually install the Python environment.
Configure the client
Add MCP server settings to the Claude Desktop configuration file.
Start the service
After running the service program, you can use it through the AI assistant.

Usage examples

Literature review assistance
Quickly collect the latest research progress in a certain medical field.
Clinical decision reference
Obtain evidence - based references for clinical decisions on specific diseases.

Frequently Asked Questions

Is it free to use?
What if the search results are incomplete?
Will the paper data be updated regularly?
Does it support batch downloading of papers?

Related resources

medRxiv official website
The official website of the medical preprint platform
GitHub repository
Project source code and update logs
MCP protocol documentation
Technical specifications of the Model Context Protocol

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.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
7.1K
5 points
P
Paperbanana
Python
6.3K
5 points
F
Finlab Ai
FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.
5.8K
4 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.0K
4.5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.7K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
10.4K
5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
9.3K
5 points
C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
17.9K
5 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
21.5K
4.5 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
34.5K
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
24.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.5K
4.3 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
64.6K
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#
31.3K
5 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
49.3K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.1K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase