"A resource for learning 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.

Enables generation and enhancement of videos through a unified entry point to 200+ video models (Kling, Hailuo, Seedance, Vidu, Wanxiang), covering text-to-video, image-to-video, start-end frame interpolation, reference-to-video, video upscaling, and digital-human talking-head clips. Built for short-video operations, ad placement, and drama teams that would otherwise juggle several platforms for a single clip.

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 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.