Provides image recognition capabilities to Codex/Claude Code by routing 'look at screen/screenshot' requests to a multimodal model via an API relay. Enables UI automation agents to analyze local screenshots and return descriptions or structured JSON coordinates.
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 clients like Codex, Claude Code, and Kimi Code to analyze public video URLs by downloading media, uploading it to Gemini, and returning timestamped production breakdowns covering shots, visual design, animation, motion, narration, music, sound effects, and editing, with follow-up Q&A and session management tools.
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 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.
Enables intelligent document processing by extracting text, classifying document types, and generating structured summaries from PDFs and images using vision LLMs.
This server enables interaction with Google's Video Intelligence API for advanced video analysis, auto-generated using AG2's MCP builder to provide a standardized multi-agent interface.
Ask 200+ AI models (Claude, GPT, Gemini, Llama, DeepSeek, Qwen) privately from any MCP client via Obscurify AI zero-data-retention routes. Tools: ask, chat, second_opinion (one prompt to 2-5 models side by side), list_models (prices, context, plan), generate_image and balance.
Enables image and video generation across GPT-Image, Gemini, Grok, and Jimeng with file-based outputs, multi-reference support, and model capability lookup.
Pay the provider's own price. No markup, no subscription. Use 400+ Vercel AI Gateway models, including Veo, Kling, Seedance, Nano Banana and GPT Image, to make video, images, voice and text right inside Claude, ChatGPT or any MCP app. Deploy your own copy to Vercel in one click; every call is billed to your own Gateway credits.
Provides image recognition capabilities to MCP clients by integrating with OpenAI-compatible vision models, supporting local images, URLs, multi-image comparison, and model listing.
Identify and remove AI provenance metadata (C2PA, EXIF, IPTC, XMP, TC260), visible AI-generator labels and supported invisible watermarks from images and video you generated yourself. Runs locally over stdio with uvx.
A local MCP server for AI image generation using ComfyUI, Claude Code, and OpenClaw, with a built-in library of over 1,300 prompts for private, fast image creation.
Enables web content extraction, screenshot capture, web search, arXiv paper search, and image search through Jina AI's APIs. Provides tools for reading URLs as markdown, searching the web for current information, and finding academic papers or images.
Enables read-only exploration of a Spot AI organization through the camera/video-intelligence REST API, so users can list locations, cameras, appliances and zones, query counting, idle, presence and license-plate events over a date range, and generate live-stream viewing URLs. Includes a generic GET escape hatch for any documented endpoint, with API keys resolved lazily from an environment variable or secret-helper command.
Provides access to AI Swap Face's image generation styles, pricing, FAQ, and official links. Enables AI clients to retrieve information about this online face-swapping tool.
A Model Context Protocol server that enables Claude to generate and upscale images through the Letz AI API, allowing users to create images directly within Claude conversations.
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-powered image analysis using OpenAI's Vision API and image generation with DALL-E models. Supports image description, content analysis, comparison, editing, and creating variations with intelligent caching.