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.
@JackKuo666
Basic information
A MCP Server for Google Scholar: π Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.
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": []
}
}
}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.
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.
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.
It allows AI models to search Google Scholar for academic papers and access their content programmatically through an MCP interface.
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`.
Three tools: `search_google_scholar_key_words` (keyword search), `search_google_scholar_advanced` (advanced search with author/year), and `get_author_info` (author details).
Python 3.10+ and the packages `mcp[cli]>=1.4.1`, `scholarly>=1.7.0`, and `asyncio>=3.4.3`.
Yesβthe README states this tool is for research purposes only and advises respecting Google Scholar's terms of service.

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