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.
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.
A Model Context Protocol (MCP) server that provides comprehensive video tools: transcript retrieval, video downloading, and automatic subtitle generation using AI speech-to-text. Works with YouTube, Bilibili, Vimeo, and any platform supported by yt-dlp.
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.
A Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.
