"Information about MCP Discovery" matching MCP servers:

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.

An MCP server that reads and builds CapCut projects locally, enabling natural language queries about project contents, missing media, and creation of new edits including beat-synced cuts.

MCP server that enables Claude to control DAZ Studio for scene manipulation, morph discovery, animation, and rendering.

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.

MCP server for GIF animation analysis. Provides metadata extraction, individual frame export, and per-frame timing information.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

About MCP server for image conversion, resizing, and merging — runs locally, no uploads

Enables AI-powered YouTube video analysis including transcript management, video summaries, chapter generation, keyword extraction, and playback control. Supports searching videos, retrieving channel/playlist information, and translating transcripts using Google Gemini AI.

An MCP server for parsing and analyzing Ableton Live .als project files offline, enabling queries about tempo, tracks, clips, and MIDI data through tools like als_summary and als_list_tracks.

Enables AI assistants to inspect and control Adobe Premiere Pro 26.3+ on Windows through a fail-closed, capability-gated bridge combining UXP, CEP, experimental QE discovery, and Windows UI Automation.

Enables agents to create AI music videos and audio-reactive visuals from songs through MCP, including style discovery, music search, rendering, webhook registration, and media management.

MCP server for fal model discovery, execution, pricing, and local media processing, enabling AI model workflows via natural language.

Enables a local MCP assistant to inspect and manage a Lexicon DJ library through Lexicon's Local API, providing library tools, reviewed change plans, command discovery, reports, and MCP UI previews.

A hosted MCP server providing 15 media and data tools for AI agents, including web search, news, content extraction, summarization, translation, moderation, script writing, text-to-voiceover, transcription, subtitles, viral-clip discovery, and short-form video editing.

Enables typed, native control of OBS Studio—scene/source discovery and recording start/stop/pause/resume with status readbacks—through a secure loopback WebSocket interface.

Local stdio MCP tools for timestamped video search and opt-in, recoverable FFmpeg editing jobs. Requires a separately running ReelPilot API for media and execution; default discovery is read-only.

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.

An MCP server that lets Claude Desktop watch videos from YouTube, Instagram, Facebook, or direct URLs, extracting transcripts and key frames to summarize and answer questions about video content.

Gives coding agents the ability to hear and reason about audio by describing sounds, matching them to text, locating key moments, detecting realness, generating timelines, and critiquing soundtracks. It also lets agents synthesize and iteratively improve their own sounds in code.

Integrates with Freesound.org to enable searching, discovering, and previewing audio content such as sound effects and music loops. It provides detailed metadata and licensing information to support video editing and content creation workflows.

Enables extraction of YouTube video information including metadata (title, description, channel, views) and transcripts without requiring an API key, using yt-info-extract and yt-ts-extract libraries.

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.

MCP server for YouTube that provides tools to fetch video metadata and transcripts, enabling natural language queries about YouTube videos.

Enables AI assistants to control and query Blender scenes through local MCP, allowing operations like retrieving scene information with objects and materials.

Enables sending messages, photos, and videos, listing and searching chats, downloading shared or uploaded media, and retrieving user, story, follower, and post information from an Instagram account.

Enables generating short videos for Chinese herbs with information, images, voiceovers, and video synthesis using Volcano Engine's Doubao models.

Provides intelligent access to GPAC multimedia framework's 8,600+ test cases, enabling AI assistants to answer questions about GPAC usage with precise, validated command-line examples. Users can ask natural language questions and get reliable GPAC commands for multimedia processing tasks like DASH streaming, MP4 encryption, and subtitle handling.

Enables coding agents to turn explanations of code, pull requests, or concepts into narrated slide walkthroughs voiced locally with Kokoro, returning a link that starts playing in about a second while the remaining slides are still being written. Slides are grounded in real files and git history, checked for errors, and exportable as static folders with captions.

Enables AI agents and MCP clients to fetch details about, and download, videos and audio from YouTube, Instagram, TikTok, Facebook, X and Pinterest as MP4 video or MP3 audio through tool calls, returning a temporary download link rather than file bytes. It also supports checking, waiting on and cancelling download jobs with structured, machine-readable errors.

Enables Claude Code and Codex to generate, extend, and manage Veo videos and Nano Banana images from natural-language prompts, with local output storage and asset tracking. It also supports image-to-video consistency workflows, model discovery, and a storyboard prompt for step-by-step rendering.