Scopus MCP Server

Scopus MCP Server

Provides access to the Elsevier Scopus API, enabling AI assistants to search for academic papers, retrieve detailed abstracts, and look up author profiles. It facilitates bibliometric research and scholarly data analysis through natural language commands.

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README

Scopus MCP Server

<!-- mcp-name: io.github.qwe4559999/scopus-mcp -->

中文 | English

This is a Model Context Protocol (MCP) server that provides access to the Elsevier Scopus API. It allows AI assistants to search for academic papers, retrieve abstracts, and look up author profiles.

Configuration

Setup Steps

  1. Go to Elsevier Developer Portal to apply for an API key.
  2. Fill the key into config.json in the project folder.
  3. Edit MCP_tool_config.json, modifying the folder path (pay attention to the slash direction).
  4. Finally, import the configuration into your MCP client (e.g., Claude Desktop) by copying the content of MCP_tool_config.json.

🚀 Quick Start (Zero Setup)

If you use Claude Desktop, you can skip downloading the code and just configure it directly:

  1. Get Key: Get a free API Key from Elsevier Developer Portal.
  2. Configure: Edit %APPDATA%\Claude\claude_desktop_config.json (Windows) or ~/Library/Application Support/Claude/claude_desktop_config.json (macOS).
  3. Add:
{
  "mcpServers": {
    "scopus-assistant": {
      "command": "uvx",
      "args": [
        "scopus-mcp"
      ],
      "env": {
        "SCOPUS_API_KEY": "PUT_YOUR_KEY_HERE"
      }
    }
  }
}

(Requires uv installed)

Using with Trae

In Trae Settings -> MCP Servers -> Click Add -> Select Manual Configuration (JSON), then paste:

{
  "mcpServers": {
    "scopus-assistant": {
      "command": "uvx",
      "args": [
        "scopus-mcp"
      ],
      "env": {
        "SCOPUS_API_KEY": "PUT_YOUR_KEY_HERE"
      }
    }
  }
}

Using with Cursor

  1. Open Cursor Settings -> Features -> MCP Servers.
  2. Click + Add New MCP Server.
  3. Fill in the details:
    • Name: scopus-mcp
    • Type: command (stdio)
    • Command: uvx scopus-mcp
  4. Important: You need to set SCOPUS_API_KEY in your system environment variables.

Installation

  1. Ensure you have Python 3.10+ installed.
  2. Install dependencies:
    pip install .
    

Usage

Running the Server

You can run the server using uvx (recommended) or directly with python.

# Using uvx
uvx --from . scopus-mcp

# Or directly
python -m scopus_mcp.server

Available Tools

  1. search_scopus

    • Searches the Scopus database using the standard query syntax.
    • Arguments:
      • query (string): The search query (e.g., TITLE("Artificial Intelligence")).
      • count (integer): Number of results to return (default: 5).
      • sort (string): Sort order (e.g., coverDate).
  2. get_abstract_details

    • Retrieves detailed information for a specific document.
    • Arguments:
      • scopus_id (string): The Scopus ID of the document.
  3. get_author_profile

    • Retrieves an author's profile information.
    • Arguments:
      • author_id (string): The Scopus Author ID.

Development

Run tests with:

pytest

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments & Contributors

<a href="https://github.com/qwe4559999/scopus-mcp/graphs/contributors"> <img src="https://contrib.rocks/image?repo=qwe4559999/scopus-mcp" /> </a>

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