Google Scholar MCP Server
@JackKuo666
A MCP Server for Google Scholar: 🔍 Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.
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
FAQ from Google Scholar MCP Server
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.
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.
