Medrxiv MCP Server
The medRxiv MCP Server is a bridge connecting AI assistants with the medRxiv preprint library, enabling the search and access of health science preprints through the Model Context Protocol (MCP).
rating : 2.5 points
downloads : 6.6K
What is the medRxiv MCP Server?
The medRxiv MCP Server provides a bridge through the Model Context Protocol (MCP), enabling AI assistants to quickly search for and obtain health science preprints on medRxiv.How to use the medRxiv MCP Server?
After installation, you can search for and obtain medRxiv papers through simple commands or queries. It supports multiple search methods and detailed paper information retrieval.Applicable scenarios
This tool is suitable for researchers, medical practitioners, and anyone who needs to quickly access the latest research in the field of health science.Main features
Keyword search
Search for relevant papers on medRxiv by entering keywords.
Advanced search
Conduct more precise searches based on multiple conditions (such as author, date range).
Paper metadata retrieval
Retrieve detailed metadata of a paper through its DOI.
Local storage
Download and save papers locally for subsequent viewing.
Research tips
Provide a series of professional tips for analyzing academic papers.
Advantages
Quick access to the latest research in the field of health science
Support for multiple search methods and detailed information retrieval
Papers can be stored locally for offline use
Limitations
Requires installation and configuration of the MCP server
Depends on an internet connection
How to use
Install the medRxiv MCP Server
Install the server through Smithery CLI or manually.
Start the server
Run the server script to start providing services.
Search for papers using queries
Perform search operations through the provided API interface.
Usage examples
Search for papers
Ask the system for the latest papers on a certain topic.
Get paper details
Request detailed information about a specific paper.
Frequently Asked Questions
How to install the medRxiv MCP Server?
Is offline use supported?
Related resources
GitHub code repository
Source code and documentation for the project.
Smithery official website
Learn how to use Smithery to manage AI tools.

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