mcp-gemini-google-search
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The MCP Gemini Google Search server provides Google Search functionality using Gemini's built-in Grounding with Google Search feature, compliant with the MCP standard protocol.
The MCP Gemini Google Search server is a robust tool designed to integrate Google Search capabilities into applications using the Model Context Protocol (MCP). This server leverages Gemini's Grounding with Google Search feature to deliver real-time web search results, complete with source citations. It is compliant with the MCP standard protocol and supports stdio transport, making it versatile for various applications. The server is compatible with both Google AI Studio and Vertex AI, providing flexibility in deployment. Users can easily install and configure the server using Node.js, and it requires either a Google AI Studio API key or a Google Cloud Project with Vertex AI enabled. This tool is particularly useful for developers looking to incorporate dynamic search functionalities into their applications, enhancing user experience with up-to-date information retrieval.
Features
- Uses Gemini's built-in Grounding with Google Search feature
- Provides real-time web search results with source citations
- Compliant with MCP standard protocol
- Supports stdio transport
- Compatible with Google AI Studio and Vertex AI
Tools
google_search
Search Google for information.