merge_videos · FFmpeg Python MCP Server MCP: Risk & Policy

WHAT IT DOES

What merge_videos does on FFmpeg Python MCP Server

AI agents use merge_videos to create or update resources in FFmpeg Python MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FFmpeg Python MCP Server environment.

WHY IT NEEDS A POLICY

Why merge_videos needs a policy

The merge_videos tool creates or modifies data by combining multiple video files into a single output file. This is a reversible Write operation—the original files remain unchanged and the result is a new artifact that can be deleted or regenerated. It does not execute arbitrary code, delete data irreversibly, move money, or trigger uncontrolled external operations.

From the tool's definition Tool name is 'merge_videos' and description states '合并多个视频文件' (merge multiple video files). This tool creates a new combined output file from input files.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

merge_videos Rate-limited

merge_videos stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "merge_videos": {
      "limits": [
        {
          "counter": "merge_videos_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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 merge_videos

What does the merge_videos tool do? +

合并多个视频文件. It is categorised as a Write tool in the FFmpeg Python MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on merge_videos? +

Register the FFmpeg Python MCP Server MCP server in PolicyLayer and add a rule for merge_videos: 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 merge_videos? +

merge_videos is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit merge_videos? +

Yes. Add a rate_limit block to the merge_videos 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 merge_videos completely? +

Set action: deny in the PolicyLayer policy for merge_videos. 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 merge_videos? +

merge_videos 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.