MCP Server built for use with VS Code / Cline / Anthropic - enable google search and ability to follow links and research websites
Overview
what is Google Search MCP Server?
Google Search MCP Server is an MCP (Model Context Protocol) server that provides Google search capabilities and webpage content analysis tools, enabling AI models to perform Google searches and analyze webpage content programmatically.
how to use Google Search MCP Server?
To use the server, clone the repository, install the necessary dependencies, configure your Google API credentials, and run the server using the provided commands.
key features of Google Search MCP Server?
- Google Custom Search integration
- Webpage content analysis
- Batch webpage analysis
- MCP-compliant interface
use cases of Google Search MCP Server?
- Performing automated Google searches for data retrieval.
- Analyzing webpage content for research purposes.
- Batch processing of multiple webpages for content extraction.
FAQ from Google Search MCP Server?
- What are the prerequisites for using the server?
You need Node.js, Python, a Google Cloud Platform account, a Custom Search Engine ID, and a Google API Key.
- How do I get Google API credentials?
Follow the steps in the documentation to create a project in Google Cloud Console, enable the Custom Search API, and generate your API credentials.
- Can I run the server on my local machine?
Yes! The server can be run locally after proper installation and configuration.