Ffmpeg Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Ffmpeg Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A Model Context Protocol (MCP) server that provides video and audio manipulation tools powered by FFmpeg. This server enables AI assistants to perform media operations like cutting videos, converting formats, removing silence, and more.
ffmpeg-static, no system installation required| Tool | Description |
|---|---|
cut_video | Extract a segment from a video using start time and duration |
image_to_video | Convert a static image to a video with fixed duration |
concat_videos | Join multiple videos into one |
convert | Convert between media formats (auto-detects from file extension) |
remove_silence | Detect and remove silent segments from video |
ffmpeg_raw | Run a restricted local FFmpeg command |
npm install -g ffmpeg-mcp-servergit clone https://github.com/PedroMarianoAlmeida/ffmpeg-mcp
cd ffmpeg-mcp
npm install
npm run buildEvery input and output must be inside FFMPEG_MCP_WORKSPACE. If it is unset, the server's current working directory is used. The server resolves symlinks before reading and rejects URL schemes, traversal outside the workspace, and symlink outputs. Create output directories before running a tool.
ffmpeg_raw is deliberately restricted. It accepts local -i inputs, one final local output path, and a small set of codec and timing options. It does not accept filters, forced formats, or arbitrary FFmpeg flags because those options can load extra files or use network protocols.
For example, set a dedicated media directory in your MCP configuration:
{
"mcpServers": {
"ffmpeg": {
"command": "npx",
"args": ["ffmpeg-mcp-server"],
"env": {
"FFMPEG_MCP_WORKSPACE": "/absolute/path/to/media-workspace"
}
}
}
}Add to your claude_desktop_config.json:
{
"mcpServers": {
"ffmpeg": {
"command": "npx",
"args": ["ffmpeg-mcp-server"]
}
}
}Add to your Claude Code MCP settings:
{
"mcpServers": {
"ffmpeg": {
"command": "npx",
"args": ["ffmpeg-mcp-server"]
}
}
}"Cut the first 30 seconds from video.mp4"
→ Uses cut_video tool"Convert video.mov to mp4"
"Extract audio from video.mp4 as mp3"
→ Uses convert tool"Remove silent parts from my podcast recording"
→ Uses remove_silence tool (detects silence > 2s at -30dB by default)"Convert input.mp4 to output.mp4 using libx264"
→ Uses ffmpeg_raw with local paths and supported codec options# Install dependencies
npm install
# Build
npm run build
# Project structure
src/
index.ts # MCP server setup and tool registrations
lib.ts # FFmpeg operationsMIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.