Provides Google search grounding capabilities for Gemini AI models through MCP, enabling AI assistants to perform web searches with Gemini's grounding API for more accurate and up-to-date responses.
Provides grounded web search and research capabilities using Google's Gemini models and Google Search, with features like normal and research modes, batch searches, and health checks.
Enables any MCP-compatible LLM to perform AI-powered web research using Google's AI Mode, returning synthesized and cited answers instead of raw search results.
Enables AI-powered web searches using Google's Gemini 2.5 models with Google Search Grounding. Supports multiple Gemini models (Flash, Flash-Lite, Pro) with configurable thinking budget and web search capabilities.