"Go" matching MCP servers:

Enables AI assistants to generate real images via multiple models (OpenAI, Gemini, Recraft, Seedream, Grok, Arrow) and returns usable file paths instead of base64 data.

Converts local images or remote image URLs to Base64 format via the MCP protocol, enabling AI assistants to process images.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Generates mock 2D PNG assets for game prototypes, supporting gradients, patterns, text, spritesheets, and embedded metadata.

MCP server for Google Veo 3.1 video generation. Supports text/video/image-based generation, extension, and interpolation with cost estimation and batch processing.

A local MCP server that enables image generation and editing through OpenAI's GPT Image models, including variations, inpainting, cropping, and text overlay with brand fonts.

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.

Enables AI agents to generate Google Flow videos and images and automate Scene Builder clip extensions through a user's own Chrome session.

Enables AI assistants to programmatically generate images, GIFs, and PDFs from HTML/CSS or web screenshots using the Pictify API. It also supports template management, batch rendering jobs, and A/B test experiment controls.

MCP server for the OpenGraph.io API -- extract OG metadata, capture screenshots, scrape pages, query sites with AI, and generate branded images with iterative refinement.

Enables AI agents to drive Google Flow through a real Chrome profile to generate images, videos, characters, and scenes without sharing credentials.

Official Zvid MCP server: render videos and images from JSON and manage templates, projects, webhooks and credits from any MCP client — Claude, Cursor, Codex, n8n — through the Zvid REST API.

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.

Enables AI agents to autonomously discover, stream, and compute satellite analytics from free government Earth-observation catalogs such as Sentinel-2, Landsat, and Copernicus DEM, with zero API keys or configuration. It supports place-name geocoding, STAC scene search, cloud-native COG streaming for spectral indices, elevation profiles, SAR flood detection, and sandboxed custom geospatial scripts.

Enables comprehensive ComfyUI workflow automation including image generation, workflow management, node discovery, and system monitoring through natural language interactions with local or remote ComfyUI servers.

Lets an AI agent drive Google Flow (flow.google.com) through a locally logged-in Chrome profile to generate images, videos, characters, and scenes. Uses browser automation via the Chrome DevTools Protocol, so Google credentials are never shared with the agent.

An MCP server implementation that integrates with 4o-image API, enabling LLMs and other AI systems to generate and edit images through a standardized protocol. Create high-quality art, 3D characters, and custom images using simple text prompts.

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 AI assistants and MCP clients to inspect camera streams, probe video/audio codecs, capture live JPEG snapshots, generate playback URLs, discover camera integrations, and manage streams dynamically with strict credential redaction.

MCP server for GPT-4o Image model line, enabling text-to-image task creation, status polling, and pricing checks via RunAPI.