Google Search MCP Server
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 to start performing searches and analyzing webpages.
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 (v16 or higher), Python (v3.8 or higher), a Google Cloud Platform account, a Custom Search Engine ID, and a Google API Key.
- How do I get Google API credentials?
You can obtain credentials by creating a project in the Google Cloud Console, enabling the Custom Search API, and generating an API Key and Search Engine ID.
- What programming languages are used in this project?
The server is built using TypeScript for the MCP server and Python for the Google API interactions.