"Connecting to Gemini Flash Experimental" matching MCP servers:

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.

A Model Context Protocol server that enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model, with features like Google Search integration and token usage reporting.

A TypeScript implementation of a Model Context Protocol server that integrates with Google's Gemini 2.0 Flash model, enabling Claude Desktop users to interact with Gemini through natural language conversations.

MCP server providing Google Search grounding with source citations using Gemini Code Assist.

An MCP server that adds real-time web research to Claude Desktop using Gemini 2.5 Flash with native Google Search grounding.

Enables users to search and fetch Google's Gemini API documentation directly within an MCP-compliant environment. It provides structured access to guides and references for features like function calling, embeddings, and text generation.

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

Integrates Google Gemini 3.1 with Claude Code to provide web search, large codebase analysis, multimodal image understanding, and creative brainstorming, leveraging Gemini's 1M token context and Google Search grounding.

MCP server for web search powered by Google AI Mode (Gemini). Enables any AI agent to search the web in real-time for free and without rate limits.

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.

Gemini MCP with image, video, svg, landing page generation and search. Grounded search, deep research, image generation... Having them as tools inside Claude beats switching between browser tabs.

Free, unlimited web search MCP server powered by Google AI Mode (Gemini) without API key. Provides real-time search results for AI agents like Claude, Cursor, and Windsurf.

Provides access to Google's Gemini API for multi-turn conversations and image generation using Nano Banana, serving as a drop-in alternative to Codex MCP.

Enables multi-turn conversations with Google Gemini AI models, supporting file and image analysis, automatic model selection, deep thinking mode, and Google Search integration through the AIStudioProxyAPI backend.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

An automated research agent that leverages Google Gemini models and Google Search to perform deep, multi-step web research, generating sophisticated queries and producing citation-rich answers.

A server that provides access to Google Gemini AI capabilities including text generation, image analysis, YouTube video analysis, and web search functionality through the MCP protocol.

An MCP server that provides real-time information access using Google Gemini's grounding capabilities, enabling search for current information, developer resources, documentation, and Reddit discussions.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

Integrates Google's Gemini API with MCP-compatible clients for chat, real-time web search, knowledge queries, code/text analysis, and content generation.