"FFmpeg" matching MCP servers:

Provides video and audio manipulation tools powered by FFmpeg, enabling AI assistants to perform media operations such as cutting, converting, and removing silence.

An MCP server that exposes FFmpeg as structured tools for AI-agent-driven video editing, enabling operations like trimming, subtitling, and transcoding via natural language.

An MCP server that provides 17 FFmpeg-based tools for video and audio processing, including conversion, compression, and editing. It enables AI assistants to perform complex media tasks like extracting audio, adding watermarks, and merging videos using natural language.

An MCP server that exposes FFmpeg as a structured tool set for AI agents, enabling timeline-based video editing, preview, rendering, and analysis with an optional LLM autopilot.

A lightweight server that exposes FFmpeg's video processing capabilities to AI assistants through the Model Context Protocol (MCP), supporting operations like video format conversion, audio extraction, and adding watermarks.

An MCP server designed to work with FFmpeg for media processing tasks, offering enhanced performance and secure communication for handling media processing requests.

Enables video processing tasks such as resizing, audio extraction, and metadata inspection using FFmpeg, with base64 input/output for stateless and portable operation.

Enables AI agents to create, monitor, and download video transcodes through the FFmpeg Micro REST API.

A Node.js server that enables video manipulation through natural language requests, including resizing videos to different resolutions (360p to 1080p) and extracting audio in various formats (MP3, AAC, WAV, OGG).

Enables cloud-based FFmpeg video and audio processing through the Rendi API, allowing AI assistants to convert, edit, and manipulate media files without local FFmpeg installation.

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 agents to start and stop full-screen recordings on macOS using FFmpeg, with control over quality, FPS, and audio.

An MCP server that masters audio with a professional signal chain using ffmpeg, enabling loudness analysis, vocal-over-beat mixing, full mastering to target LUFS, and Dolby codec export.

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

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

A local MCP server that enables Claude to edit videos on your machine using ffmpeg, with tools for trimming, converting, compressing, creating GIFs, and more.

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 batch audio processing and optimization using FFmpeg with preset configurations for game audio, voice processing, and music mastering, including specialized optimization for ElevenLabs AI voice output.

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

A Model Context Protocol server that lets your AI download YouTube audio and search videos, powered by yt-dlp and ffmpeg, shipped as a Docker image.