compress_video · FFmpeg Python MCP Server MCP: Risk & Policy

WHAT IT DOES

What compress_video does on FFmpeg Python MCP Server

AI agents invoke compress_video to trigger actions in FFmpeg Python MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why compress_video needs a policy

Compressing a video executes an FFmpeg encoding pipeline that produces output files. While it may overwrite originals (potentially destructive), the primary action is executing a processing command. Without explicit indication it overwrites in-place irreversibly, Execute is the most accurate category. High severity because misuse could corrupt or overwrite large video files at scale.

From the tool's definition compress_video on an FFmpeg server described as performing 'video and audio processing tasks such as format conversion, cutting, merging, and adding effects via FFmpeg' — compression involves running FFmpeg to re-encode and overwrite/produce video files

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

compress_video Rate-limited

compress_video stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "compress_video": {
      "limits": [
        {
          "counter": "compress_video_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches FFmpeg Python MCP Server, so you can run agents against it safely.

FAQ

Questions about compress_video

What does the compress_video tool do? +

压缩视频文件. It is categorised as a Execute tool in the FFmpeg Python MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on compress_video? +

Register the FFmpeg Python MCP Server MCP server in PolicyLayer and add a rule for compress_video: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches FFmpeg Python MCP Server. Nothing to install.

What risk level is compress_video? +

compress_video is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit compress_video? +

Yes. Add a rate_limit block to the compress_video rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block compress_video completely? +

Set action: deny in the PolicyLayer policy for compress_video. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides compress_video? +

compress_video is provided by the FFmpeg Python MCP Server MCP server (mabh111111/ffmpeg_python_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.