ffmpeg mcp lite exposes FFmpeg's core video/audio processing capabilities to AI agents. It handles conversion, compression, trimming, audio extraction, and subtitle addition. The server connects directly to FFmpeg's command-line interface, allowing agents to process media files using natural language commands. Developers use it for automating video/audio workflows, such as batch processing, format conversion, and content preparation for streaming platforms.
ffmpeg mcp lite exposes FFmpeg's core video/audio processing capabilities to AI agents. It handles conversion, compression, trimming, audio extraction, and subtitle addition. The server connects directly to FFmpeg's command-line interface, allowing agents to process media files using natural language commands. Developers use it for automating video/audio workflows, such as batch processing, format conversion, and content preparation for streaming platforms.
pip install ffmpeg-mcp-liteAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"kevinwatt-ffmpeg-mcp-lite-github": {
"command": "uvx",
"args": [
"pip install ffmpeg-mcp-lite"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from ffmpeg mcp lite?"
No configuration required. This server works out of the box.
"What resources are available in ffmpeg mcp lite?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in ffmpeg mcp lite"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in ffmpeg mcp lite with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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