Google Scholar
Overview
What is Google Scholar MCP Server?
The Google Scholar MCP Server enables AI assistants to search and access Google Scholar papers through a simple Model Context Protocol (MCP) interface, allowing programmatic access to academic papers.
How to use Google Scholar MCP Server?
To use the server, install it via Smithery or manually clone the repository, install dependencies, and run the server. You can then use the provided MCP tools in your AI assistant or application.
Key features of Google Scholar MCP Server?
- 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.
Use cases of Google Scholar MCP Server?
- Searching for academic papers on specific topics.
- Performing advanced searches by author or publication year.
- Retrieving detailed author information for research purposes.
FAQ from Google Scholar MCP Server?
- Can I use this server for all academic fields?
Yes! The server can be used to search for papers across various academic disciplines available on Google Scholar.
- Is there a cost to use the Google Scholar MCP Server?
No! The server is free to use for everyone.
- What are the system requirements?
The server requires Python 3.10+ and specific dependencies listed in the project.
Server Config
{
"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": []
}
}
}Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
JackKuo666Star
-Language
-License
-Category
research-and-data
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