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

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.

Enables real-time AI editing assistance in the WordPress block editor, allowing Claude to proofread, review, edit, translate, compose, and prepare posts for publishing.

Enables AI agents to perform exact-match, transactional multi-file edits with atomic writes, dry-run diffs, and self-correcting error diagnostics that reduce token usage.

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.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

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

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

Enables Claude Desktop to analyze individual videos or folders with Gemini, returning structured ad-creative reports, and to list videos in a folder before processing.

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

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.

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

Enables analyzing a Douyin, Xiaohongshu, or Bilibili video link to generate a reusable editing blueprint with shot, caption, speech, rhythm, and visual analysis.

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.

Free open-source Video Studio for Wan · Seedance · Kling, plus more models via the PowerTokens API. Excel/CSV batch, compare, storyboard, and safe resume. MCP tools check API keys, estimate cost, generate and download MP4s, and resume interrupted tasks. The app is free; video credits are on PowerTokens. https://powertokens.ai/?utm_source=glama&utm_medium=mcp&utm_campaign=video-studio

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.

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

Enables an agent to process local video files and then read, search and inspect the results: timestamped transcripts, on-screen text and key frames as images. Everything runs locally, so an agent can answer questions like how to perform a task shown in a screencast or meeting recording.

Enables AI agents to reverse-engineer how a YouTube or local video was made by turning it into timestamped storyboard sheets, native-resolution style frames, an audio strip with cut markers, pacing metrics, and a shot-by-shot A/V script. A bundled three-pass skill then guides the model through structure, visual design, and motion analysis to produce a recreation recipe, with no API keys required.

Enables AI assistants to summarize, take notes on, and answer questions about YouTube, Bilibili, and Xiaohongshu videos by providing subtitles and local speech transcription with timestamps via MCP.

Turns a plain-language request into a narrated vertical motion graphics video with natural voice, word-by-word synced animation, music and sound effects, rendered locally as an MP4 ready for Reels, TikTok and Shorts. Validates scripts and estimates OpenAI API cost before spending credits, and works inside MCP-capable assistants like Claude Code, Claude Desktop or Cursor.

Enables agents to search Bilibili, read video details and comment threads, and post comments with built-in confirmation, rate limiting, and length safeguards. Also fetches Douyin video metadata on a best-effort basis and can open Douyin links in the default browser.

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.

Enables AI assistants to open YouTube links or local video files, read timed transcripts, inspect relevant frames, and answer questions with moment-level citations checked against the video.

Enables AI assistants to read Bilibili, YouTube, and local videos by supplying subtitles, speech transcription, and sampled frames with timestamps, so users can ask about content, verify on-screen details, and continue with follow-up questions. Also provides a general queue and history plus a Scroll workflow that logs into a separate Bilibili account for personalized recommendations, inbox messages, forwarded videos, and authorized delivery.

Enables shell-less agents to discover available video capabilities, gather timestamped local evidence such as scenes, frames, motion and audio, and query or diff stored observations through MCP tools. Observation and sample directories act as handles, letting hosts and the CLI read the same evidence.

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

Enables MCP clients to run project-scoped video editing workflows: propose and approve editing strategies, apply validated plans, review immutable versions, and export final renders via FFmpeg, with durable persistence and approval gates.

Enables AI agents that read text and images to work with local video files by providing measurements, timestamped contact sheets, transcripts, cut and loudness checks, sync analysis, and searchable visual or audio events over MCP.

MCP server enabling video analysis via scene detection, audio transcription, visual description, and stylistic fingerprinting, with tools for full pipeline execution and storyboard generation.

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.

Enables MCP clients like Claude to analyze public YouTube videos by asking questions grounded in both audio and visuals through the Google Gemini API.

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 screen recording on macOS, iOS Simulator, and Android, with key-frame extraction via ffmpeg, enabling AI agents to capture UI motion and transient visual states.

Creates narrated 9:16 documentary videos from user-described topics using Wikimedia images and AI voiceover, rendered entirely on your machine.

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

Enables AI agents to generate videos by paying per call with USDC on Base via the x402 protocol, with no accounts or API keys required.