"Information or resources related to AI (Artificial Intelligence)" matching MCP servers:

Real-time video intelligence

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.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

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.

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.

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.

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.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

Enables MCP clients to turn direct video URLs and chosen start/end times into ready-to-post vertical 9:16 MP4 clips with animated burned-in captions, thumbnails, and SRT files, including batch processing for multiple highlights.

Enables intelligent document processing by extracting text, classifying document types, and generating structured summaries from PDFs and images using vision LLMs.

Turns a single image of an object into a textured 3D model (GLB with web-ready copy and six-view previews) on your own NVIDIA GPU, returning the written files and a preview. Runs locally as an MCP tool or, optionally, offloads the job to hosted GPUs with an API key.

MCP server for creating and editing Effekseer effects with AI agents. It provides tools to manage effect documents, nodes, properties, resources, and curves via stdio.

Enables AI agents to search, filter, browse rankings, read comments, manage favorites, and download manga albums or chapters, then convert them to ZIP, PDF, or long images. Also supports download task planning, progress tracking, cancellation and retries, runtime configuration changes, account login, and API access over stdio, SSE, or HTTP transports.

Enables AI agents to search, browse rankings, view album details and comments, manage favorites, and download manga albums or individual chapters asynchronously with progress tracking, cancellation, and retry. Also supports post-processing downloads into ZIP/PDF/long images, dynamic configuration updates, account login with cookie persistence, and access to schema/reference knowledge resources over stdio, SSE, and HTTP transports.

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.

Exposes MCP tools that let AI agents search, browse rankings, view album details and comments, manage favorites, and download or post-process manga into ZIP, PDF, or long-image formats. It also covers runtime configuration, account login with cookie persistence, and background task control with progress tracking, cancellation, and retries.

Enables AI agents to search, browse, and download comic albums, manage favorites and comments, control download tasks, perform ZIP/PDF/long-image post-processing, and adjust runtime configuration through MCP tools and knowledge resources.

Enables AI agents to search, browse, and retrieve comic details, comments, rankings, and favorites; download albums, photos, and covers with task control; and post-process downloads into ZIP, PDF, or long images.

Enables AI clients to search and browse comics, retrieve details, comments, and rankings, download albums or chapters with progress, convert downloads to ZIP, PDF, or long images, and manage favorites and runtime configuration through standardized tools and resources.

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

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.

Wraps Jimeng AI's image and video generation APIs for AI assistants to create and edit visual content via natural language.

Enables AI photo generation, editing, and video creation from MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

Enables image and video generation across GPT-Image, Gemini, Grok, and Jimeng with file-based outputs, multi-reference support, and model capability lookup.

A read-only MCP server that exposes Tiramisu AI's product information, pricing, and official links to MCP-compatible AI clients.

MCP server for Winston AI's detection tools, enabling AI content detection, plagiarism checking, image analysis, and text comparison.

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.

Enables AI agents to create and edit pixel art in a live Aseprite window, with tools for drawing, selection, transformation, and animation.

Provides image recognition capabilities to MCP clients by integrating with OpenAI-compatible vision models, supporting local images, URLs, multi-image comparison, and model listing.