这是一个基于 Model Context Protocol (MCP) 的 FFmpeg 视频音频处理服务器。该项目为 AI 助手提供了强大的视频和音频处理能力，包括格式转换、切割合并、特效添加等功能，支持硬件加速处理。
Ffmpeg_python_mcp is an MCP project maintained in the mabh111111/ffmpeg_python_mcp repository. The maintainer describes its purpose as “这是一个基于 Model Context Protocol (MCP) 的 FFmpeg 视频音频处理服务器。该项目为 AI 助手提供了强大的视频和音频处理能力，包括格式转换、切割合并、特效添加等功能，支持硬件加速处理。”. Read the project documentation for the complete scope.
The project provides a local client configuration using uv. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| my_new_tool |
{
"mcpServers": {
"ffmpeg-processor": {
"command": "uv",
"args": [
"run",
"python",
"/path/to/ffmpeg_python_mcp/main.py"
],
"cwd": "/path/to/ffmpeg_python_mcp"
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Independent-index web search for assistants — fresh results without the Google API maze.
Manipulates video files using FFmpeg to resize videos and extract audio in various formats.
Analyzes YouTube videos by extracting transcripts, summarizing content, and answering questions using AI.
Retrieves YouTube video URLs from a specified Watch Later playlist within a given timeframe.
Extracts subtitles from YouTube videos using a provided link.
Enables AI assistants to interact with the YouTube API through the Model Context Protocol (MCP).