Google Search MCP Server
An MCP (Model Context Protocol) server that provides Google search capabilities and webpage content analysis tools. This server enables AI models to perform Google searches and analyze webpage content programmatically.
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 scripts.
Key features of Google Search MCP Server?
- Advanced Google Search with filtering options (date, language, country, safe search)
- Detailed webpage content extraction and analysis
- Batch webpage analysis for comparing multiple sources
- Environment variable support for API credentials
- Comprehensive error handling and user feedback
- MCP-compliant interface for seamless integration with AI assistants
Use cases of Google Search MCP Server?
- Performing advanced searches for specific topics with filters.
- Extracting and analyzing content from webpages for research.
- Comparing information from multiple sources for comprehensive insights.
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.
- Is there a way to run the server on different platforms?
Yes, the server can be run on Windows and other platforms with the appropriate configurations.
- How does the error handling work?
The server provides detailed error messages for missing credentials, failed requests, and network issues.
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