Google Search MCP Server
by mixelpixx
An MCP 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.
Last updated: N/A
What is Google Search MCP Server?
The Google Search MCP Server is a tool that allows AI models to programmatically perform Google searches and analyze webpage content. It acts as a bridge between AI assistants and the Google search engine, providing structured access to search results and extracted webpage data.
How to use Google Search MCP Server?
To use the server, you need to install the necessary dependencies (Node.js, Python, Google API client), configure your Google API credentials, and set up the MCP server configuration for your AI assistant (Cline or Claude). Then, you can use the provided tools (google_search, extract_webpage_content, extract_multiple_webpages) with appropriate arguments to perform searches and extract content.
Key features of Google Search MCP Server
Advanced Google Search with filtering options
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
AI assistants performing research tasks
Automated content analysis and comparison
Gathering information from multiple sources
Providing AI models with real-time information
Enhancing AI model capabilities with web search functionality
FAQ from Google Search MCP Server
What are the prerequisites for running this server?
What are the prerequisites for running this 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 configure the Google API credentials?
How do I configure the Google API credentials?
You can provide the credentials either through environment variables (GOOGLE_API_KEY and GOOGLE_SEARCH_ENGINE_ID) or by creating an api-keys.json file in the root directory.
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's an interface that allows AI assistants to interact with external tools and services.
How do I extract content from multiple webpages?
How do I extract content from multiple webpages?
Use the extract_multiple_webpages tool and provide an array of URLs in the 'urls' argument.
What kind of error handling is provided?
What kind of error handling is provided?
The server provides detailed error messages for missing API credentials, failed search requests, invalid URLs, and network connectivity issues.