"Using Gemini in the Claude Desktop Application" matching MCP servers:

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

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

Unified MCP server for Gemini media generation --Nano Banana (images), Veo 3.1 (video), TTS, and Lyria 3 (music). Single Go binary, 12 tools, supports Gemini API key and Vertex AI.

Enables AI image generation, editing, composition, and style transfer in Claude conversations using Google's Gemini 2.5 Flash model. Automatically saves generated images to a local directory.

Enables conversational analysis of YouTube videos using Gemini 2.5 Pro, supporting multi-turn sessions, direct URL processing, and local video uploads.

Enables Claude Code to use Google Gemini AI capabilities for analyzing PDFs and images, generating and translating text, and reviewing code. Supports both CLI and API backends with different quota limits.

Enables audio file analysis using Google's Gemini multimodal models with support for additional context and system instructions to guide the model's behavior.

A Model Context Protocol (MCP) server for integrating Google's Gemini 3 models with Claude Code, enabling powerful collaboration between both AI systems.

Generates videos using Google Gemini Veo from text prompts with optional aspect ratio settings.

Enables image processing and analysis using Google's Gemini 2.5 Flash model. Supports local files, URLs, and Base64 images with streaming responses and automatic output saving.

MCP server that connects Claude Desktop to Google Gemini, enabling multimodal analysis with file attachments (video, image, audio, PDF).

Integrates Google Gemini API capabilities into Claude Code, supporting text generation, image analysis, and AI image creation. It features specialized tools for creative brainstorming and managing multi-turn chat sessions.

Enables the removal of Gemini AI watermarks from generated images in PNG, JPG, and WEBP formats. The server provides tools to process local files with configurable output quality and compression settings.

Generate high-quality images from text descriptions using Google's Imagen 4.0 models with multiple quality variants, flexible aspect ratios, and local file storage.

FastMCP server for Google's gemini-omni-flash-preview video model, enabling text-to-video, image-to-video, and video editing with stateful interactions and batch generation.

Enables text-to-image generation, image editing, and multi-image composition using Google's Gemini 2.5 Flash Image API. Supports flexible aspect ratios and character consistency across generations.

MCP server for the Gemini Omni model line, enabling task creation (audio, character, text-to-video) and pricing checks through RunAPI.

An MCP server that enables AI image generation, editing, and analysis using Google's Gemini 3.0 models. It supports high-resolution outputs up to 4K, style transfers, and multi-image mixing through specialized tools.

Enables image generation and editing using Google Gemini AI with support for multiple aspect ratios, context images, custom styles, and watermark overlays. Optimized for creating social media content with automatic file saving and flexible output configuration.

Enables image generation and multi-turn editing sessions using the Gemini API within MCP-compatible environments. Users can create, modify, and configure images through natural language commands, supporting features like aspect ratio adjustments and session-based image transformations.