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Mcp Google Scholar Dev

@renoscriptdevon a year ago
2 MIT
FreeCommunity
AI Systems
A MCP server in development for Google Scholar

Overview

What is Mcp Google Scholar Dev

mcp-google-scholar-dev is a Model Context Protocol (MCP) server currently in development that provides Google Custom Search functionality specifically tailored for Google Scholar.

Use cases

Use cases include building academic research tools, enhancing educational platforms with scholarly search features, and developing applications that require access to Google Scholar’s resources.

How to use

To use mcp-google-scholar-dev, install it via Smithery or manually by cloning the repository and installing dependencies. Configure the server by creating a .env file with your Google API key and Custom Search Engine ID, then start the server using the MCP command.

Key features

Key features include integration with Google Custom Search, customizable search parameters, and the ability to retrieve scholarly articles and resources efficiently.

Where to use

mcp-google-scholar-dev can be used in academic research, educational institutions, and by developers looking to integrate scholarly search capabilities into their applications.

Content

Google Search MCP Server

smithery badge

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

  1. Clone the repository:
git clone https://github.com/gradusnikov/google-search-mpc-server.git
cd google-search-mpc-server
  1. 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:

  1. Create a Google Cloud project and enable the Custom Search API
  2. Generate an API key from the Google Cloud Console
  3. 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"
            ]
        },

Tools

No tools

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