- Ffmpeg_python_mcp
Ffmpeg_python_mcp
What is Ffmpeg_python_mcp?
Ffmpeg_python_mcp is a powerful video and audio processing server based on the Model Context Protocol (MCP), designed to provide AI assistants with capabilities such as format conversion, cutting, merging, and adding effects, with support for hardware acceleration.
How to use Ffmpeg_python_mcp?
To use Ffmpeg_python_mcp, clone the project from GitHub, install the required dependencies, and run the MCP server using the provided commands. Ensure you have Python 3.12+ and FFmpeg installed.
Key features of Ffmpeg_python_mcp?
- Complete video and audio processing capabilities: conversion, cutting, merging, compression, etc.
- Hardware acceleration support: Intel QSV, NVIDIA NVENC, etc.
- Asynchronous concurrent processing: supports multi-task execution.
- Streaming media support: M3U8 merging, live stream processing.
- Video effects: watermarking, GIF conversion, speed adjustment.
- AI-friendly interface: standard MCP protocol for easy integration.
Use cases of Ffmpeg_python_mcp?
- Extracting audio from video files.
- Converting video formats for compatibility.
- Merging multiple video files into one.
- Adding effects like watermarks or GIF conversions to videos.
- Processing live streams for real-time applications.
FAQ from Ffmpeg_python_mcp?
- What is the Model Context Protocol (MCP)?
MCP is a standardized protocol that allows AI assistants to securely access external tools and resources.
- Is Ffmpeg_python_mcp free to use?
Yes! Ffmpeg_python_mcp is open-source and free to use.
- What are the hardware acceleration options?
The server supports Intel QSV and NVIDIA NVENC for enhanced processing speed.
Server Config
{
"mcpServers": {
"ffmpeg-processor": {
"command": "uv",
"args": [
"run",
"python",
"/path/to/ffmpeg_python_mcp/main.py"
],
"cwd": "/path/to/ffmpeg_python_mcp"
}
}
}