A remote MCP image generation server that unifies OpenAI Images and Gemini generateContent APIs with preset-based configuration for multi-provider support.
Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.
A Model Context Protocol server that provides web and image search capabilities through Google's Custom Search API, allowing AI assistants like Claude to access current information from the internet.
Privacy-first MCP server for macOS that allows AI agents to search local images using natural language descriptions, leveraging MLX CLIP embeddings and LanceDB for fast, fully offline search.
Controls Google Flow for image and video generation from an AI agent. Enables generating images with models like Imagen 4, creating videos, managing characters and scenes via browser automation.
Enables high-quality image generation using Google's Imagen 3.0 model via the Gemini API, with support for multiple images per request and automatic file management and HTML preview generation.
MCP server for ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.
MCP server for Google Veo 3.1 video generation. Supports text/video/image-based generation, extension, and interpolation with cost estimation and batch processing.
Provides a standardized interface for LLMs to read, create, and manage Google Calendar events. It supports full event lifecycle management and includes advanced capabilities for processing events from screenshots and images.
Enables text-to-image generation using Zhipu AI's CogView-4 API. Supports generating images from text prompts with configurable size and quality parameters through MCP-compatible clients like Claude Desktop and Cline.
Generates high-quality images using Google's Imagen 3.0 model via the Gemini API with support for up to four images per request. It provides automated file management and creates HTML previews for seamless image viewing within MCP-compatible hosts.
Exposes Google AI Studio models (Gemini, Imagen, Veo) as MCP tools for text generation, image generation, and video generation, integrating with code editors and LLM clients.