Install
$ agentstack add mcp-qwe4559999-scopus-mcp Open-source listing, not yet scanned by AgentStack. Follow the source repository for install instructions.
Security review
⚠ Flagged1 finding(s); flagged for manual review. · v0.1.0 How review works →
- • Prompt-injection patterns
- • Secret / credential exfiltration
- • Dangerous shell & filesystem operations
- • Untrusted network calls
- • Known-malicious package signatures
- high Pipes remote content directly into a shell (remote code execution).
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Scopus MCP Server
[中文](README_CN.md) | English
> 💡 Check out the [Interaction Guide & Prompt Examples](USAGE_EXAMPLES.md) to see how to chat with this tool!
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. Additionally, to run this tool without manual setup, your device must have the uv package manager installed.
Configuration
Setup Steps
- Go to Elsevier Developer Portal to apply for an API key.
- Create a
config.jsonfile in the project root (or copy fromconfig.json.example) and fill in your key:
``json { "api_key": "YOUR_KEY_HERE" } ``
- Edit
MCP_tool_config.json, modifying the folder path (pay attention to the slash direction). - 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:
- Get Key: Get a free API Key from Elsevier Developer Portal. (⚠️ Note: Educational/Institutional email is recommended; public email domains may be rejected).
- Configure: Edit
%APPDATA%\Claude\claude_desktop_config.json(Windows) or~/Library/Application Support/Claude/claude_desktop_config.json(macOS). - 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](#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
- Open Cursor Settings -> Features -> MCP Servers.
- Click + Add New MCP Server.
- Fill in the details:
- Name:
scopus-mcp - Type:
command(stdio) - Command:
uvx scopus-mcp
- Important: You need to set
SCOPUS_API_KEYin your system environment variables.
Installation
- Ensure you have Python 3.10+ installed.
- Install dependencies:
``bash 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
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).
get_abstract_details
- Retrieves detailed information for a specific document.
- Arguments:
scopus_id(string): The Scopus ID of the document.
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](LICENSE) file for details.
Acknowledgments & Contributors
- thinktraveller - Initial Work & Core Development
- qwe4559999 - Maintainer
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: qwe4559999
- Source: qwe4559999/scopus-mcp
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.