gemini-mcp-server
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Gemini MCP Server is a Model Context Protocol server designed for Google Search integration, enabling seamless interaction with AI assistants and other MCP-compatible clients.
The Gemini MCP Server is a robust implementation of a Model Context Protocol server specifically tailored for Google Search. It facilitates the integration of AI assistants and other MCP-compatible clients by providing a structured interface to perform web and image searches using the Google Custom Search API. The server is built on Node.js and requires a Google API key for operation. It is designed to be easily integrated into existing MCP configurations, allowing users to leverage Google's powerful search capabilities within their AI applications. The server supports both content and image searches, returning structured results that can be easily consumed by client applications.
Features
- Integration with Google Custom Search API for web and image searches.
- Structured results including titles, links, and snippets for easy consumption.
- Seamless integration with MCP-compatible clients.
- Built on Node.js for cross-platform compatibility.
- Environment configuration via .env file for secure API key management.
Tools
googleSearchContent
Provide web search function to return structured data
googleSearchImages
Provide image search function and return to image links
