Scholarscope MCP
S

Scholarscope MCP

ScholarScope MCP is an academic research MCP server built on FastMCP, providing functions such as paper, author, and institution search, citation relationship query, and full - text retrieval through the OpenAlex API, specifically designed for intelligent research assistants.
2 points
0

What is ScholarScope MCP?

ScholarScope MCP is an intelligent academic research server based on the Model Context Protocol, specifically designed for researchers, students, and scholars. It integrates the OpenAlex academic database and the Jina full-text retrieval service, enabling rapid searches of academic literature, analysis of citation relationships, and retrieval of complete paper content when possible.

How to use ScholarScope MCP?

After connecting via Claude Desktop or other MCP clients, you can directly use natural language to query academic information, such as 'Search for the latest papers on artificial intelligence' or 'Find the citation status of a certain author'. The server will automatically process your request and return structured academic information.

Applicable scenarios

Literature review, research topic exploration, academic trend analysis, citation network research, rapid retrieval of relevant papers, tracking the research achievements of specific authors or institutions

Main features

Paper search
Search for relevant academic papers by keywords, titles, authors, or institutions, supporting multiple sorting methods
Citation analysis
Obtain the citation relationships and citation status of papers, and build an academic influence network
Full-text retrieval
Attempt to obtain the complete text content of papers through the Jina service (when available)
Author and institution search
Search for relevant papers and academic achievements of specific authors or research institutions
Related research
Discover research work and academic trends related to the current paper
Advantages
Integrates multiple academic data sources, providing rich and comprehensive information
Supports natural language queries, making it simple and intuitive to use
Responds quickly and has high retrieval efficiency
Provides structured data for further analysis
Free to use the OpenAlex academic database
Limitations
Full-text retrieval depends on the availability of third-party services
An email address needs to be configured to use the OpenAlex API
Data processing capabilities are limited by API call restrictions
The literature coverage in some niche fields may not be comprehensive enough

How to use

Environment preparation
Ensure that Python 3.13+ and the uv package manager are installed
Install dependencies
Clone the project and install the required dependency packages
Configure environment variables
Create a.env file and set the email configuration required by OpenAlex
Connect the client
Configure Claude Desktop or other MCP clients to connect to the server

Usage examples

Literature review assistance
When conducting a literature review in a certain research field, quickly collect relevant papers and citation information
Research trend analysis
Analyze the research development trends and hot topics in a certain technology field
Academic relationship mining
Explore the cooperation relationships between scholars and the paper citation network

Frequently Asked Questions

Why do I need to configure an email address?
Can I obtain the full text of papers behind the paywall?
How accurate are the search results?
Does it support Chinese searches?

Related resources

OpenAlex official website
An open academic database that provides rich information on papers, authors, and institutions
Model Context Protocol
Official documentation and specification of MCP
Jina AI
An AI service for full - text retrieval and content processing
GitHub repository
Project source code and latest updates

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "Tool Example": {
      "command": "uv",
      "args": [
        "run",
        "--directory", "/path/to/mcp_server",
        "fastmcp",
        "run",
        "src/server.py"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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