"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.

Enables LLMs to safely execute ffmpeg and ffprobe operations by passing arguments as arrays, avoiding shell injection, with support for probe, convert, trim, concat, thumbnail, watermark, speed, loudnorm, and batch processing.

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.

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.

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.

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.

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.

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.

Diagnoses HLS and DASH streams by reading manifests over HTTP, checking rendition ladders, segment timing, live windows, and DRM, and reports issues with evidence—no ffmpeg required.

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

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.

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.