"How to set up an MCP server" matching MCP servers:

An MCP server that enables AI agents to search, retrieve, and curate free stock photos and videos from Pexels, with tools, resources, and prompts for easy integration.

MCP server exposing NaN API media tools (image generation/editing, text-to-speech, speech-to-text, embeddings, reranking) for any MCP-compatible client.

An MCP server that adds vision capability to any LLM by forwarding images to OpenRouter vision models, returning text analysis. Supports image analysis, model listing, and config diagnostics.

MCP server for tinify.ai image optimization. AI-powered upscaling, resizing/cropping, compression, and SEO filename & alt text generation — all in one tool.

An MCP server providing vision and video analysis tools, configurable with any model provider.

An MCP server that integrates with Recraft AI to enable generation and manipulation of high-quality raster and vector images through tools like image generation, editing, vectorization, background removal, and upscaling.

Enables AI agents to add text or logo watermarks to images via URL, batch watermark up to 20 images, and check usage, with a free tier available.

An MCP server that generates images using SenseNova U1 Fast API. Supports Chinese prompts, multiple resolutions, and generating up to 4 images per request.

An MCP server that validates, resizes, and optimizes advertising creative assets across 50+ platforms using Cloudinary.

An MCP server to search for photos and videos on Pexels.

Enables driving Inkscape headlessly from an MCP client, with verified SVG editing, rendering, optimization, and animation tools.

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.

Model Context Protocol server that enables generating videos from text prompts and/or images using AI models (Luma Ray2 Flash and Kling v1.6 Pro) with configurable parameters like aspect ratio, resolution, and duration.

Enables the generation of images using Together AI's models through an MCP server, supporting customizable parameters such as model selection, image dimensions, and output directory.

An MCP server that enables image generation using Google's Gemini Nano Banana Pro model via the Google AI Studio API. Users can generate and save images locally by providing text prompts through MCP-compatible clients.

A Model Context Protocol server that provides image generation capabilities using the Ideogram API, allowing users to create images from text prompts with customizable parameters.

MCP server for generating and editing images through Polza AI using Google Gemini models (Nano Banana 2, Pro, Flash). It supports conditioning with up to three reference images and provides structured metadata with reproducibility hints.

An MCP server for capturing images from cameras and video streams via the framegrab library, providing tools to create framegrabbers and grab frames.

Enables face detection and recognition in Agentic AI workflows using Azure Face API, supporting attribute detection, image comparison, and face recognition.

Production-ready MCP server for the deAPI REST API, exposing AI capabilities like audio transcription, image generation, OCR, video generation, and text-to-speech as MCP tools.