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mcp-google-scholar-dev
A MCP server in development for Google Scholar
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Google Search MCP Server
A Model Context Protocol (MCP) server that provides Google Custom Search functionality.
Installation
Installing via Smithery
To install google-search-mcp-server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @gradusnikov/google-search-mcp-server --client claude
Manual Installation
- Clone the repository:
git clone https://github.com/gradusnikov/google-search-mpc-server.git
cd google-search-mpc-server
- Install dependencies:
pip install fastmcp google-api-python-client python-dotenv
Configuration
Create a .env
file in the project root with the following variables:
GOOGLE_API_KEY=your_google_api_key
GOOGLE_CSE_ID=your_custom_search_engine_id
To obtain these credentials:
- Create a Google Cloud project and enable the Custom Search API
- Generate an API key from the Google Cloud Console
- Create a Custom Search Engine at https://cse.google.com/cse/all and get its ID
Usage
Start the server using MCP:
mcp run google_search_mcp_server.py
or add the server to Claude Desktop app CLAUDE_DIRECTORY/claude_desktop_config.json. For example if you are using Windows Subsystem for Linux (WSL) it may look like this:
"google-search": {
"command": "wsl.exe",
"args": [
"bash",
"-c",
"source /home/[user]/anaconda3/etc/profile.d/conda.sh && conda activate mcp && /home/[user]/anaconda3/bin/mcp run /home/[user]/google-search-mpc-server/google_search_mcp_server.py"
]
},
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Reviews

user_g5ZaKud0
As a dedicated MCP application user, I am thoroughly impressed with the mcp-google-scholar-dev developed by renoscriptdev. This tool seamlessly integrates with Google Scholar, providing efficient access to academic resources. The user experience is intuitive, enhancing my research capabilities significantly. Highly recommended for researchers and scholars who need reliable and streamlined access to scholarly articles. Check it out at https://github.com/renoscriptdev/mcp-google-scholar-dev.