Google-Scholar-MCP-Server
Integrations
Enables searching for academic papers using keywords or advanced search parameters, retrieving paper metadata, accessing author information, and supporting academic research and analysis through Google Scholar.
Google Scholar MCP Server
🔍 Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.
The Google Scholar MCP Server provides a bridge between AI assistants and Google Scholar through the Model Context Protocol (MCP). It allows AI models to search for academic papers and access their content in a programmatic way.
✨ Core Features
- 🔎 Paper Search: Query Google Scholar papers with custom search strings or advanced search parameters ✅
- 🚀 Efficient Retrieval: Fast access to paper metadata ✅
- 👤 Author Information: Retrieve detailed information about authors ✅
- 📊 Research Support: Facilitate academic research and analysis ✅
🚀 Quick Start
Installing Manually
Installing via Smithery
To install google-scholar Server for Claude Desktop automatically via Smithery:
claude
Cursor
Paste the following into Settings → Cursor Settings → MCP → Add new server:
- Mac/Linux
Windsurf
CLine
- Clone the repository:Copy
- Install the required dependencies:Copy
For development:
📊 Usage
Start the MCP server:
Once the server is running, you can use the provided MCP tools in your AI assistant or application. Here are some examples of how to use the tools:
Example 1: Search for papers using keywords
Example 2: Perform an advanced search
Example 3: Get author information
These examples demonstrate how to use the three main tools provided by the Google Scholar MCP Server. Adjust the parameters as needed for your specific use case.
Usage with Claude Desktop
Add this configuration to your claude_desktop_config.json
:
(Mac OS)
(Windows version):
Using with Cline
🛠 MCP Tools
The Google Scholar MCP Server provides the following tools:
search_google_scholar_key_words
Search for articles on Google Scholar using key words.
Parameters:
query
(str): Search query stringnum_results
(int, optional): Number of results to return (default: 5)
Returns: List of dictionaries containing article information
search_google_scholar_advanced
Perform an advanced search for articles on Google Scholar.
Parameters:
query
(str): General search queryauthor
(str, optional): Author nameyear_range
(tuple, optional): Tuple containing (start_year, end_year)num_results
(int, optional): Number of results to return (default: 5)
Returns: List of dictionaries containing article information
get_author_info
Get detailed information about an author from Google Scholar.
Parameters:
author_name
(str): Name of the author to search for
Returns: Dictionary containing author information
📁 Project Structure
google_scholar_server.py
: The main MCP server implementation using FastMCPgoogle_scholar_web_search.py
: Contains the web scraping logic for searching Google Scholar
🔧 Dependencies
- Python 3.10+
- mcp[cli]>=1.4.1
- scholarly>=1.7.0
- asyncio>=3.4.3
You can install the required dependencies using:
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
📄 License
This project is licensed under the MIT License.
⚠️ Disclaimer
This tool is for research purposes only. Please respect Google Scholar's terms of service and use this tool responsibly.
This server cannot be installed
🔍 Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.