Enables LLMs to perform FFmpeg operations like clipping, merging, extracting audio, adding subtitles, and transcoding videos via a set of tools exposed as an MCP server.
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.
MCP server exposing headless ffmpeg operations for video, audio, and image processing via auto-generated typed tools, enabling agentic media file manipulation.
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.
A Model Context Protocol server that enables AI assistants to perform comprehensive video and audio editing operations including trimming, effects, overlays, audio processing, and YouTube downloads.
An LLM-friendly Model Context Protocol server for video and audio editing, built on MoviePy v2 and FastMCP. It lets MCP clients trim, merge, resize, overlay, mix audio, and render video through natural language.