Google-Search-MCP-Server
The Google Search MCP Server is an MCP-compliant server that allows AI models to perform Google searches and analyze webpage contents programmatically. It integrates Google Custom Search and advanced content analysis tools, presenting results in a human-readable format.
What are the prerequisites for running the Google Search MCP Server?
You need Node.js (v16 or higher), a Google Cloud Platform account, a Custom Search Engine ID, and a Google API Key.
How do I configure the server with my Google API credentials?
Set the GOOGLE_API_KEY and GOOGLE_SEARCH_ENGINE_ID as environment variables or configure them in your MCP settings file.
What formats are supported for webpage content analysis?
The server supports markdown, HTML, and plain text formats for webpage content analysis.
How can I handle errors related to API credentials?
The server provides detailed error messages for missing or invalid API credentials, failed search requests, and other issues.
Can I distribute the built version of the server?
Yes, you can distribute the built version by creating a distribution package with only the necessary files and configuring the package.json for production.