"Information or resources about video editing" matching MCP servers:

Upload, edit, and generate videos from everyone's favorite LLM and Video Jungle.

AI-powered video editing toolkit: scene splitting, subtitle generation, thumbnail planning, color grading, and aspect ratio conversion.

A Model Context Protocol (MCP) server that learns from your video editing behavior and provides intelligent assistance for film and television post-production workflows.

Provides powerful video and audio editing capabilities through FFmpeg, enabling AI assistants to perform professional-grade operations including format conversion, trimming, overlays, transitions, and advanced audio processing.

Integrates with Video Jungle to allow LLMs to upload, search, edit, and generate videos from natural language commands.

Enables users to upload, search, edit, and generate videos through Video Jungle, supporting custom URI schemes and integration with video editing tools like DaVinci Resolve.

Lets AI agents inspect local or remote videos by reading metadata, detecting shots and cuts, extracting frames as images, and checking keyframes for seeking and streaming, all via local FFmpeg without an API key.

Extracts transcripts or spoken captions from multi-platform video links (Bilibili, YouTube, Douyin) and returns concise Markdown summaries or full transcripts, saving tokens by keeping full text out of the conversation.

Enables agents on Windows to inspect video and audio evidence by returning adaptively selected frames, subtitles or optional local ASR transcriptions, timestamps, and processing status from local files or supported URLs.

Enables AI assistants and MCP clients to ingest audiovisual media from local files or yt-dlp-supported URLs, producing timestamped transcripts and scene-selected keyframes with exact-frame drill-down and transcript search.

An async video generation MCP server with multi-provider support. Currently in skeleton phase with stub implementations, it will eventually enable video generation through providers like Veo 3.1, Grok Imagine Video, and Sora 2 Pro.

An MCP server that enables LLMs to analyze video content by extracting frames as base64 images and retrieving video metadata using ffmpeg.

A cinema-grade video production MCP server that enables automated website recording, editing, and AI-powered narration using ffmpeg and Playwright. It provides tools for color grading, captioning, and converting videos into social media formats through natural language commands.

An MCP server for programmatic video editing using ffmpeg, enabling draft creation and refinement via natural language.

An MCP server that enables natural language video editing using FFmpeg, supporting operations like trimming, merging, format conversion, and more with real-time progress tracking.

A local MCP server that gives Claude Desktop full video editing capabilities via FFmpeg, Whisper, and yt-dlp.

Web-based video editing platform that provides direct editing functionality through a Model Context Protocol server, supporting media file management, timeline editing, and advanced transformation effects.

An MCP server that generates MP4 b-roll videos from scene specs, enabling AI agents to create branded overlays for short-form video without After Effects.

MCP server for video analysis — extracts transcripts, key frames with OCR, and annotated timelines from video URLs. Supports Loom and direct video files (.mp4, .webm). Zero auth required.

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 image-only models to view videos as timestamped frames and retrieve measurable video properties such as scene cuts, silences, and loudness.

Enables AI-powered video editing in IDEs through a pipeline-driven workflow, including proxy ingestion, motion graphics generation, and high-fidelity rendering.

Provides video manipulation via ffmpeg (frame extraction, format conversion, trimming, audio adjustments, filters, and subtitle handling) without requiring an external API key.

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.

An MCP server enabling Claude Code to analyze any video (local file, URL, or Jira ticket attachment) by extracting frame images and audio transcripts, or using Gemini for native video analysis.

Inspect local video and audio files with ffprobe, returning structured metadata such as format, duration, bitrate, and stream info.

An MCP server that provides video editing tools via ffmpeg, enabling tasks like trimming, merging, adding overlays, and format conversion.

An MCP server that enables AI agents to play and control YouTube and TikTok videos through a native mpv player window. It supports browsing subscriptions, searching content, managing playlists, and fetching video metadata using authenticated browser cookies.

MCP server for DaVinci Resolve that enables timeline placement, folder import, and typed metadata markers.

Enables assistants to check ffmpeg/ffprobe availability and probe local video files, with local editing features such as cutting, captions, reframing, audio mixing, and rendering on the roadmap.

Enables comprehensive video file analysis including extracting metadata, stream information, bitrate calculations, and generating technical reports. Supports all FFmpeg-compatible video formats with output in JSON, text, or Markdown formats.

Enables extracting screenshots from video files at specific timestamps or intervals. Supports multiple video formats and output customization including resolution, quality, and format options.

MCP server that enables video analysis capabilities to Claude, including frame extraction, scene detection, and video metadata retrieval.

Enables comprehensive video file metadata management including reading, editing, and batch processing of video properties like title, description, tags, and technical specifications. Supports multiple video formats with intelligent caching and search capabilities.

Provides Claude Code with local ffmpeg-based tools to probe, trim, concat, transform, overlay, mix audio, render JSON timelines, and run automated QA on video files—no API key required.

A Model Context Protocol server that provides video manipulation capabilities, allowing users to clip, merge, and split video files through MCP integration.

Enables AI agents to perform local headless video editing through MCP tools, including source-linked cuts, captions, overlays, audio, revision history, cut review, and Remotion rendering.

A professional video format conversion tool based on MCP protocol that supports multiple formats, batch processing, and quality control for video files.

Gives an agent a full video editing room: import footage, cut and order shots, add captions and audio, composite, replace screens via SAM2, render, and export in multiple formats, all locally in Docker with no API key required.

Enables AI agents to perform deterministic video editing operations like trim, resize, add text, and more using MCP tools.