Hands local video files to Gemini's native video understanding for detailed, timestamped descriptions, and also supports image/media viewing with frame extraction.
Enables AI agents to analyze videos from page URLs, direct media URLs, or local files and return structured answers about visible content, speech, on-screen text, and timelines.
Enables local-first video understanding by extracting metadata, transcripts, keyframes, OCR, and timeline data, and supports sorting shoot folders by topic and quality.
An MCP server that parses Douyin share links and performs intelligent content analysis using the Doubao video understanding model. It provides structured outputs including video summaries, categorized outlines, and step-by-step tutorial information.
Enables AI-powered music generation through natural language commands, supporting both inspiration mode (AI-generated lyrics and style) and custom mode (user-provided lyrics and parameters) to create songs with direct download links.
Enables image analysis and understanding using Vision Language Models through OpenAI-compatible APIs. Supports analyzing images from URLs or local files with custom prompts.
Enables AI agents to analyze videos and images using Qwen3-VL deployed on Modal, supporting hours-long videos with timestamp grounding, text extraction, video summarization, and Q\&A with 256K context window.
Enables AI agents to analyze, summarize, and extract text from videos and images using the Qwen3-VL-8B-Instruct model deployed on Blaxel. It supports media analysis via URL, including video Q\&A and speech transcription capabilities.
Enables generating beautiful syntax-highlighted code screenshots with professional themes directly from Claude. Supports file reading, line selection, git diff visualization, and batch processing across 20+ programming languages.
A unified MiniMax multimodal MCP server that enables users to access text, search, image understanding, image generation, speech synthesis, video generation, music generation, and quota query capabilities through AI CLI tools.
Enables AI assistants to inspect and edit an Ableton Live set in real time, including tracks, devices, parameters, clips, MIDI, and undo-safe changes, with guardrails such as all-or-nothing validation and optional read-only mode.
Enables AI assistants to control DaVinci Resolve Studio through the official Scripting API, with full API coverage plus workflow helpers for editing, grading, Fusion, Fairlight, and project lifecycle tasks. Includes a compound tool mode for low context usage, a granular 341-tool mode, a local control panel, and an optional advanced offline server for working with Resolve project files.
Enables users to turn GIFs, local videos, and Bilibili videos into timestamped, queryable, and verifiable frame evidence and event timelines, while passing extracted frames to the current session's model instead of calling an external vision API.
A MCP server for video multimodal understanding based on Alibaba Cloud DashScope, enabling video content analysis, summarization, scene recognition, and custom analysis.
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.
Enables AI assistants to control an OXI ONE MKII sequencer over USB MIDI, including transport and clock, pattern/column selection, note and CC sending, and remote-mode pad, LED, OLED, and event interaction.
Enables local video and audio understanding by measuring duration, codecs, silence, black or frozen frames, loudness and audio peaks with FFmpeg, and by sending only a trimmed clip range to an OpenRouter model for detailed chronological summaries or focused questions. Runs entirely on local files with no Codex fork required.
Enables AI assistants to drive Avid Pro Tools through the PTSL scripting API, exposing every PTSL command as an MCP tool with timeouts, path mapping, and optional read-only mode.
Enables AI assistants to command and automate Adobe After Effects (2026, with 2025/2024 support) through validated, type-safe tools covering project, composition, layer, text, keyframe, effect, audio, and render operations. It bridges MCP clients to After Effects via an ExtendScript execution layer with approval-gated destructive actions and a simulation mode for testing without the app installed.
Turn any link — video, PDF, screenshot, or article — into cached, timestamp-anchored understanding agents can query through lenses (explainer, build spec, teardown, design tokens, production blueprint). Every claim carries the exact second or page it came from.
Enables local video understanding by generating numbered storyboard sheets with timecoded transcripts, zooming into selected segments, locating spoken phrases, probing media metadata, and tracking playback progress. It uses local ffmpeg and optional offline speech recognition.
Enables probing, converting, trimming, and re-framing videos into 9:16 vertical clips, plus generating thumbnails and burning in subtitles, all via a local ffmpeg install. Restricts operations to allowed paths, never overwrites source files, and supports a read-only mode with an audit log.
Two-mode creative music studio for AI: scored composition (ABC notation with sheet music) and live performance (Strudel live coding with TidalCycles), with interactive UI rendering inline in Claude Desktop and other MCP clients.
One MCP server that routes to 12+ AI providers for text, image, and video generation, with smart task delegation, web search, and model comparison—all from the terminal.
Enables high-quality image generation with advanced text rendering and contextual understanding using FLUX.1 Kontext Max through the Replicate API. Supports text-to-image generation, image editing, multiple aspect ratios, and automatically downloads generated images locally.
Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.
Enables asking questions about image, audio, or video files using state-of-the-art multimodal models. Powered by fal.ai for advanced media analysis and understanding capabilities.
Enables visual understanding and image description capabilities for iFlow CLI and Claude Desktop using Doubao's vision model. It supports 18 image formats and features automatic optimization, caching, and Chinese language optimization.
An MCP server that leverages Zhipu's free GLM-4.6V-Flash vision model to enable image, video, and file understanding (OCR, table parsing, defect detection, document Q&A, and more) across MCP-compatible clients like Codex and Claude Desktop.
Bridges MiniMax AI capabilities to the Model Context Protocol, enabling AI agents to perform image understanding, text-to-image generation, and speech synthesis. It provides a standardized interface for accessing MiniMax's core tools via JSON-RPC.
Provides image understanding capabilities for MCP clients (e.g., Claude Code) by analyzing images using vision models from providers like Alibaba Cloud Bailian, OpenAI, or OpenRouter, returning detailed descriptions in Markdown format.
Exposes a Pygame-based drawing canvas as an MCP server, allowing LLMs to create digital art using standard shapes and freehand paths. It features a specialized oil paint mode that simulates realistic color mixing, paint depletion, and textured brush strokes.
Enables video generation via MiniMax's official V2 API using your own API key, integrating with mcode for submitting and querying video tasks, with automatic mp4 downloads.
Enables agents to convert local files across 162 input formats and 3649 proven conversions, using two tools to list supported formats and convert files with clear error reporting.
Makes Claude a real operator for Adobe Premiere Pro 2025, providing 59 tools to control projects, timelines, media, exports, and even create cinematic intros with beat detection and style presets.
Enables AI clients to inspect and control a local VLC Media Player through its built-in HTTP interface, exposing tools for playback status, playlist listing and item playback, play/pause/stop, next/previous, volume, seeking, and adding local files or supported URLs. It runs locally over MCP stdio (with an optional loopback-only HTTP mode), so clients like Claude, ChatGPT-connected tunnels, Ollama hosts, and other MCP tools can drive media playback from natural language prompts.
Enables an LLM to actually watch videos, GIFs, animated WebP and static images by sampling scene-change frames into a single grid image alongside any available subtitle text, including Bilibili videos fetched through the official API. It also exposes metadata-only lookups for deciding whether a video is worth watching and a recent-frames mode for seeing how a clip ends.