a year ago
research-and-dataMCP 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 designed to enable AI models to perform Google searches and analyze webpage content programmatically, specifically built for use with Cline and VS Code.
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 web pages 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.
- How do I get Google API credentials?
You can obtain them from the Google Cloud Console by creating a project and enabling the Custom Search API.
- Is there error handling in the server?
Yes, the server provides detailed error messages for various issues such as missing credentials and failed requests.