Wraps FFmpeg and FFprobe for local media processing, providing tools to check dependencies, get media file metadata, extract frames from video as base64 images, extract/convert audio to MP3, and split audio into chunks.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-ffmpeg extract audio from video.mp4 to mp3"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP server wrapping FFmpeg and FFprobe for local media processing.
Works with Claude Code, Codex, Claude Desktop, Cursor, VS Code, Windsurf, and any MCP-compatible client.
Node.js 18+
FFmpeg and FFprobe installed and in PATH
Install FFmpeg:
brew install ffmpegRelated MCP server: FFmpeg MCP
claude mcp add ffmpeg -- npx -y github:pauloFroes/mcp-ffmpegAdd to your codex.toml:
[mcp.ffmpeg]
command = "npx"
args = ["-y", "github:pauloFroes/mcp-ffmpeg"]Add to claude_desktop_config.json:
{
"mcpServers": {
"ffmpeg": {
"command": "npx",
"args": ["-y", "github:pauloFroes/mcp-ffmpeg"]
}
}
}Add to .cursor/mcp.json:
{
"mcpServers": {
"ffmpeg": {
"command": "npx",
"args": ["-y", "github:pauloFroes/mcp-ffmpeg"]
}
}
}Add to .vscode/mcp.json:
{
"servers": {
"ffmpeg": {
"command": "npx",
"args": ["-y", "github:pauloFroes/mcp-ffmpeg"]
}
}
}Add to ~/.windsurf/mcp.json:
{
"mcpServers": {
"ffmpeg": {
"command": "npx",
"args": ["-y", "github:pauloFroes/mcp-ffmpeg"]
}
}
}Tool | Description |
| Check if ffmpeg and ffprobe are installed and available |
| Get media file metadata (duration, resolution, codecs, format) |
| Extract frames from video at regular intervals (returns base64 images) |
| Extract/convert audio from video to MP3 |
| Split audio file into chunks of N minutes |
MIT
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
OCR, transcription, file extraction, and image generation for AI agents via MCP.
Serverless media processing: FFmpeg jobs, timeline composition, captions, and compression.
Generate images, video, and audio with Glif's media-generation agent
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/pauloFroes/mcp-ffmpeg'
If you have feedback or need assistance with the MCP directory API, please join our Discord server