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
基本信息
A MCP Server for Google Scholar: 🔍 Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"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": []
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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`.
Yes—the README states this tool is for research purposes only and advises respecting Google Scholar's terms of service.

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