"FFmpeg" matching MCP servers:

An AI-powered MCP server for intelligent video processing, enabling automated analysis, transition effects, and quality assurance with multi-agent orchestration.

Give any MCP client a real video editor — 32 typed tools over ffmpeg, Whisper and MediaPipe, plus an optional local UI with a drag-and-drop timeline.

media-gen renders Claude-authored content — SVG markup, HTML documents, or a JavaScript canvas draw() function — into PNG/JPEG/WebP images and MP4 video using headless Chromium and ffmpeg, with no API keys required. It also offers an optional bring-your-own-key path for photorealistic text-to-image and text-to-video generation via OpenAI, Gemini, or fal.ai.

Enables AI assistants to drive a Google Flow web workspace through local login-session reuse: inspecting the account's actual models and parameters, submitting image and video generation jobs, tracking each job by persistent ID, and downloading the matching media to a specified local path with file and parameter records. Supports repeatable, multi-shot video production workflows where tracked assets are handed off to editing tools like FFmpeg.

Provides image and video analysis capabilities for LLMs, with local preprocessing (ffmpeg/OpenCV) and any OpenAI-compatible vision model for understanding and Q&A.

An MCP server that transforms LLM-enabled IDEs into professional video editors by pre-processing footage into text proxies, generating motion graphics via HTML/CSS, and orchestrating complex FFmpeg renders.

Reverse-engineers design videos and images into structured frontend implementation specifications using vision LLMs and FFMPEG for frame-level analysis.

Provides tools for agent-driven video creation, including image generation via Google's GenAI, video generation, and local video stitching with FFmpeg.

Enables AI video automation pipeline: ComfyUI image-to-video, FFmpeg processing, After Effects template rendering, review, and multi-platform publishing preparation.

Enables managing RunningHub workflows locally through Codex, including searching public models and prices, creating and validating workflow JSON, tracking projects, scenes, assets, and revisions in SQLite, and submitting single paid generation jobs with status polling, result download, and FFmpeg-generated previews. Requires explicit user confirmation before any paid run and prevents hidden automatic retries of uncertain submissions.

An MCP server that gives Claude a conversational video-editing toolkit — trim, crop, color grade, caption, beat-sync, stabilize, and more — built on ffmpeg, faster-whisper, and yt-dlp, with optional DaVinci Resolve and CapCut integration.

Enables LLM agents to drive a self-hosted video toolkit through MCP tools, including lipsync, face restoration, ffmpeg operations, and metadata retrieval.

Enables AI agents to direct a local media studio over MCP, generating consistent characters, photocards, album art, and beat-synced music videos by orchestrating ComfyUI, ffmpeg, and Piper TTS while recording the full recipe of every asset.

An MCP server that turns Claude into a hands-on video editor for short-form videos, enabling music generation, script writing, voiceover synthesis, and video stitching with FFmpeg. It also features a text-to-documentary skill that converts long-form text into structured documentary videos.

Enables transcribing speech from public HTTPS video URLs using OpenAI Speech-to-Text, with audio extraction via FFmpeg and structured JSON results returned through an MCP tool.