Enables creation of word cloud visualizations from various document formats (PDF, Word, TXT, MD) with intelligent text extraction, customizable themes, and multiple output formats (SVG, PNG, JPG, WebP).
Enables Claude, Cursor, or any MCP client to create consistent AI characters, generate Veo 3.1 and Omni videos, edit clips, build scenes, export MP4s, and chat with Google Flow's creative agent. Automates AI video production workflows such as reels, storyboards, and multi-shot stories through natural language, with credit guardrails and dry-run pricing.
Safe MCP server for Google Flow that opens a separate Chrome instance, handles authentication, and enables video generation and download, without affecting the main Chrome profile.
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.
Enables AI agents to manage Tencent Cloud Live services through natural language, including domain management, stream pulling/pushing, live stream control, and transcoding template operations.
Enables AI agents to direct, generate, and compile on-device videos with storyboards, keyframes, camera effects, and audio, then export them to Android's Gallery or Google Photos while adapting to device battery and thermal limits across Termux, ADB, or desktop.
Downloads videos from 1000+ social media platforms and stores them in S3-compatible cloud storage, returning public URLs for videos, audio, transcripts, and thumbnails.
Atlas Cloud MCP Server enables developers to access state-of-the-art AI models for image generation, video generation, and LLMs through a unified MCP interface. Fast, scalable, and cost-efficient alternative to traditional AI providers.
Enables MCP-compatible agents to access KaiRouter's video generation API, providing tools to list available video models, generate videos (text-to-video or image-to-video) asynchronously, check job status, and list recent jobs.
Enables local analysis of PCM WAV files to produce bounded audio observations such as activity segments, clipping indicators, duration, sample rate, peak, and RMS level without uploading recordings.
Enables natural language control of Pure Data patches through Claude AI, allowing dynamic creation, modification, and DSP control via the Model Context Protocol.
Local MCP server to control Adobe After Effects from AI clients like Claude and Cursor, supporting project composition, layer editing, animation, masks, and effects.
Enables automated collection and downloading of multimedia content (images, GIFs, videos) from QQ channels. Features efficient video scraping, incremental updates, and intelligent fallback mechanisms for comprehensive media harvesting.
Enables Claude Code to use Alibaba Cloud Token Plan models via a local proxy that maps Anthropic-style model names to Alibaba IDs and provides missing endpoints like model discovery.
Gives any agent eyes and ears by indexing video, audio, and screen activity into searchable, timestamped frames, transcripts, and OCR text that answers can cite. It also evaluates frozen verification contracts over file digests, JSON values, SQL results, HTTP responses, and DOM state to return a deterministic verdict from a separate process.
Enables AI coding agents to generate cinematic video and image assets and perform autonomous timeline assembly, multi-track audio editing, chroma-key compositing, and local draft manipulation from conversational prompts.
AI-native timeline editor for short-form video. Your agent cuts, captions, adds motion graphics and renders against a real, editable timeline over MCP — not a render queue. Human-in-the-loop by design: it calls request_review and waits while you supervise in a browser. Local-first and AGPL; your footage never leaves your machine.
Enables agentic interaction with vanilla Pure Data by providing tools for live patch creation, inspection, and manipulation via an MCP server that synchronizes with a Pd bridge patch.