MCP Servers

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A Model Context Protocol (MCP) server for Elsevier Scopus. Allows AI assistants like Claude to search academic papers, retrieve abstracts, and analyze author profiles directly.

创建于 1/12/2026
更新于 about 12 hours ago
Repository documentation and setup instructions

Scopus MCP Server

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.

Please note that requesting an Elsevier Scopus API key generally requires that your organization or institution has a subscription to Elsevier database services.

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)

Prerequisite: You must have uv installed.

  • Windows: powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
  • macOS/Linux: curl -LsSf https://astral.sh/uv/install.sh | sh

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. (⚠️ Note: Educational/Institutional email is recommended; public email domains may be rejected).
  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"
      }
    }
  }
}

(If you don't have uv, see Installation for manual setup)

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

scopus-mcp - Scopus MCP by qwe4559999
快速设置
此服务器的安装指南

安装包 (如果需要)

uvx scopus-mcp

Cursor 配置 (mcp.json)

{ "mcpServers": { "qwe4559999-scopus-mcp": { "command": "uvx", "args": [ "scopus-mcp" ] } } }