"Information about Gemini" matching MCP servers:

Enables MCP clients like Claude to analyze public YouTube videos by asking questions grounded in both audio and visuals through the Google Gemini API.

Enables image generation and editing through the Gemini web app using your own browser session cookies, avoiding API keys and per-image billing.

High-performance Model Context Protocol (MCP) server connecting Claude Code and AI agents to Google Gemini 3.8 Flash, Gemini 3.1 Pro, reasoning effort, and image generation.

MCP server for Google Gemini media generation, exposing tools for generating and editing images, video, music, and async operations via stdio.

MCP server that wraps Gemini CLI as a subprocess, exposing its capabilities as Model Context Protocol tools.

MCP server for generating diagrams, charts, and visualizations using Gemini image generation on Vertex AI. Supports auto-detection of diagram types, multiple style modes, and iterative refinement.

Generates and transforms images using Google's Gemini model through the MCP protocol, enabling AI assistants to create high-quality images from text prompts.

MCP server for Google Gemini that enables image generation, editing, file analysis, and chat using browser cookies, no API key needed.

Enables generating images through Google's Gemini Nano Banana image models using a free Google AI Studio API key, with configurable prompts, models, aspect ratios, and output locations.

Provides read-only access to Gemini 3 Online's knowledge surface (models, pricing, links, FAQ) for MCP-compatible AI clients, requiring no API keys.

MCP server that lets Claude control Google Gemini Omni video generation via a browser bridge (Playwright) until the official API ships.

Enables image generation and transformation using Gemini API, returning file paths instead of base64 data to avoid token limit issues in Claude Code.

MCP server for Google Gemini image generation, editing, and processing, with two tools and no bloat.

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.

Enables AI assistants to query Google AI (Gemini models) via Vertex AI or Google AI Studio with automatic tool selection, multi-turn reasoning, and multimodal input support.

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.

MCP server for generating and editing images using Google Gemini API, with support for multi-turn iterative refinement.

Generate and transform images using Google's Gemini AI through the Model Context Protocol (MCP).

MCP server for Google's Gemini File Search (RAG). Manage file search stores, upload documents, and query with RAG through 12 tools.

A privacy-conscious MCP server that enables image analysis via Google Gemini with safety features like two-step confirmation and SSRF defenses.