renoscriptdev_mcp_google_scholar_dev
by renoscriptdevGoogle Scholar MCP Server
A Model Context Protocol (MCP) server that provides Google Custom Search functionality.
Overview
The Google Scholar MCP Server is a development project aimed at integrating Google Scholar search capabilities into the Model Context Protocol (MCP) framework. This server allows users to perform custom searches using Google Scholar and retrieve relevant academic resources.
Installation
Installing via Smithery
To install the Google Scholar 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
Alternatively, add the server to the 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"
]
}
About
The Google Scholar MCP Server is a project in development aimed at enhancing the search capabilities of academic resources using Google Scholar.
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