"A tool for inspecting SEO and validating schema markup in web pages" matching MCP servers:

Enables AI agents to inspect UI screen recordings as token-efficient image sheets with changed regions boxed, single-frame flicker flagged, and speech aligned to frames. Exposes watch_video and zoom_video tools so agents can pull dense keyframes across any time range or one sharp full-resolution frame, all processed locally.

Enables Codex to delegate code reviews, coding tasks, image/video generation, and background investigations to Grok via MCP tools.

Enables ChatGPT users to search and browse a private photo library, inspect metadata, and receive real image previews through read-only tools, while keeping encrypted sessions server-side.

Enables an AI assistant to batch-drive ArmorPaint headlessly via its native CLI and scripting engine, re-exporting projects at different presets and building procedural materials without opening the GUI.

Lets an LLM see what's on your screen by capturing an entire monitor or a specific application window.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Enables AI assistants like Claude, Cursor, and VS Code to generate Grok Imagine images and videos through the user's existing logged-in grok.com browser session, with no xAI API key required. Supports aspect ratio and size control, batch prompts, and daily quota limits.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

Enables local OCR transcription of images using tesseract.js, with optional low-token AI-generated descriptions, folder batch processing, and compatibility with MCP clients like ChatGPT, Claude, opencode, and Cursor.

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

Unofficial MCP server for generating images via Midjourney web app using authentication cookies. Enables text-to-image generation with customizable parameters.

Enables MCP clients to discover OpenRouter image and video models, generate and edit images, create variations, launch and monitor video jobs, and save resulting media into authorized local project directories with cost controls.

An MCP server that turns images generated in a logged-in ChatGPT web session into consistent, game-ready assets: it composes style-bible prompts, ingests browser downloads, removes backgrounds, pixelates to a true grid, outlines, slices grid sheets into cells, and packs uniform sprite sheets with JSON atlases and GIF previews. Everything runs locally in pure JavaScript with no API key or native dependencies.

Enables local agents to send conversations and image-generation requests through user-authorized web chat and Flow Chrome tabs, poll or cancel jobs, and download generated images without API keys or remote debugging. Runs locally over stdio with explicit per-request confirmation and token-paired extension controls.

Connects an AI assistant directly to a Doubao web account so it can hold conversations, generate images from text, and turn images into videos, saving outputs to disk automatically. Includes multi-account pooling with hot-swapping for quota or risk-control limits, and requires no local service, API key, or external dependency at runtime.

Enables local image generation through a ChatGPT web account, downloading original files with paths, sizes, and checksums while keeping responses compact. Supports batched requests and resumable recovery without embedding images in model context.

Provides vision capabilities to Reasonix, enabling analysis of images/videos, OCR, and comparisons via OpenAI-compatible vision models.

Bridges DeepSeek (text-only) with vision models via MCP, enabling image description and compression using any OpenAI-compatible visual API.

Enables interaction with Figma designs through the Figma API, allowing users to export images in multiple formats, extract style data and CSS, analyze design elements, and retrieve SVG code from Figma files. Supports batch operations and comprehensive design element analysis including images, vectors, and components.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

Enables AI assistants to programmatically inspect projects, create compositions and layers, apply effects, animate properties, and manage render jobs in Adobe After Effects through natural language.

Enables agents to perform structured shopping actions and retrieve targeted product images for visual comparison, matching, and aesthetic recommendations.

Generates all required web app icons and manifest files from a single source image with framework auto-detection. Supports Next.js App Router, traditional web apps, and PWA standards with zero configuration.

Enables WorkBuddy and other MCP-compatible clients to generate images and videos from natural-language prompts through Agnes AI, returning online URLs and locally saved files.

A server that allows AI tools like Claude and Cursor to automate and control Photoshop through natural language commands, enabling tasks like editing PSDs, toggling layers, and generating marketing creatives.

MCP server for creating math animations with manim, enabling AI-driven real-time interactive creation and browser preview.

MCP server that exposes ComfyUI image and 3D generation as a single tool with smart prompt classification. It enables AI assistants to generate assets directly by selecting and running the appropriate ComfyUI workflow.

Enables image and video processing through FFmpeg, including compression, format conversion, resizing, and batch processing operations for common media formats.

Enables LLMs to drive Blender through socket-based two-way communication, letting them create and modify 3D objects, apply materials, run Blender Python, and fetch or generate assets while visually verifying results. Supports prompt-assisted 3D modeling, scene creation, and manipulation.

Give your AI ears and eyes and perception