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Sci Hub MCP Server

The Sci-Hub MCP service is a bridge connecting AI assistants with Sci-Hub's academic resources, providing functions such as paper search, metadata acquisition, and PDF download through the Model Context Protocol.
2.5 points
32

What is Sci-Hub MCP Server?

This is a bridge service connecting AI assistants with Sci-Hub's academic resources, enabling AI to help you search for, obtain, and analyze academic papers. You can access millions of research papers through simple dialogue instructions.

How to use Sci-Hub MCP Server?

Simply install and configure this service in a supported AI assistant (such as Claude), and then you can search for and obtain papers through natural language instructions. No technical background is required; it's as simple as having a conversation.

Applicable scenarios

Suitable for academic researchers, students, and professionals who need scientific research literature. It is especially useful when you need to quickly obtain literature in a specific field or a specific paper.

Main functions

DOI searchPrecisely find a specific paper through the paper's unique identifier (Digital Object Identifier)
Title searchFind relevant literature using the full name or part of the paper's title
Keyword searchDiscover relevant papers through keywords in the research field
Metadata acquisitionObtain detailed information such as the paper's title, author, and publication date
PDF downloadDirectly download the full-text PDF of the paper (when available)

Advantages and limitations

Advantages
A simple and easy-to-use natural language interface
Fast access to a vast amount of academic resources
Support for multiple search methods (DOI/title/keyword)
Seamless integration with AI assistants
Limitations
Dependence on the availability of the Sci-Hub service
Some of the latest papers may not be available
Requires configuration of the MCP server environment

How to use

Installation preparation
Ensure that Python 3.10+ and the FastMCP library are installed
Get the service code
Clone the GitHub repository to your local machine
Install dependencies
Install the required Python libraries
Configure the AI assistant
Add the MCP server settings to the AI assistant's configuration file (refer to the configuration example in the README)
Start the service
Run the main program to start providing the service

Usage examples

Find a specific paperWhen you know the DOI number of a paper, you can directly obtain it
Explore a research fieldWhen you want to know the latest progress in a certain research topic
Obtain the full text of a paperWhen you need to read the complete content of a paper

Frequently Asked Questions

Is it legal to use this service?
Why can't some papers be found?
Is there a fee?
Which AI assistants are supported?

Related resources

GitHub repository
Project source code and the latest updates
FastMCP documentation
Official documentation for the MCP protocol
Python official website
The official website of the Python programming language
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "scihub": {
      "command": "python",
      "args": ["-m", "sci_hub_server.py"]
      }
  }
}

{
  "mcpServers": {
    "scihub": {
      "command": "C:\\Users\\YOUR\\PATH\\miniconda3\\envs\\mcp_server\\python.exe",
      "args": [
        "D:\\code\\YOUR\\PATH\\Sci-Hub-MCP-Server\\sci_hub_server.py"
      ],
      "env": {},
      "disabled": false,
      "autoApprove": []
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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