What does Google Scholar MCP Server do?
It allows AI models to search Google Scholar for academic papers and access their content programmatically through an MCP interface.
Google Scholar MCP Server
@JackKuo666
Basic information
About Google Scholar MCP Server
A MCP Server for Google Scholar: 🔍 Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.
Google Scholar MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Google-Scholar": {
"command": "bash",
"args": [
"-c",
"source /home/YOUR/PATH/.venv/bin/activate && python /home/YOUR/PATH/Google-Scholar-mcp-server.py"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}Google Scholar MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Google Scholar MCP Server?
Google Scholar MCP Server enables AI assistants to search and access Google Scholar papers through a simple Model Context Protocol (MCP) interface. It bridges AI models with academic paper metadata and author information for research purposes.
How to use Google Scholar MCP Server?
Install dependencies with pip install -r requirements.txt, then start the server with python google_scholar_server.py. The server provides three MCP tools (search_google_scholar_key_words, search_google_scholar_advanced, get_author_info) that can be invoked from an AI assistant or application. Alternatively, install via Smithery for Claude Desktop, Cursor, Windsurf, or CLine.
Key features of Google Scholar MCP Server
- Paper search using keywords or advanced parameters
- Fast retrieval of paper metadata
- Retrieve detailed author information
- Facilitates academic research and analysis
Use cases of Google Scholar MCP Server
- Search for papers by keyword (e.g., "artificial intelligence ethics")
- Advanced search with author name and year range filters
- Get author details (e.g., Geoffrey Hinton)
- Integrate academic paper lookup into AI assistants
Frequently asked questions
How do I install Google Scholar MCP Server?
You can install it manually by cloning the repository and running `pip install -r requirements.txt`, or automatically via Smithery using `npx -y @smithery/cli@latest install @JackKuo666/google-scholar-mcp-server`.
What MCP tools does it provide?
Three tools: `search_google_scholar_key_words` (keyword search), `search_google_scholar_advanced` (advanced search with author/year), and `get_author_info` (author details).
What are the runtime dependencies?
Python 3.10+ and the packages `mcp[cli]>=1.4.1`, `scholarly>=1.7.0`, and `asyncio>=3.4.3`.
Is there any usage restriction?
Yes—the README states this tool is for research purposes only and advises respecting Google Scholar's terms of service.
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