extract_frames

从视频中提取帧图片

Server FFmpeg Python MCP Server mabh111111/ffmpeg_python_mcp
Category Read
Risk class Low
Parameters 00 required

What extract_frames does on FFmpeg Python MCP Server

AI agents call extract_frames to retrieve information from FFmpeg Python MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why extract_frames needs a policy

This tool queries/retrieves frame data from video files and outputs extracted images. It has no side effects on the source video, creates no permanent modifications, executes no arbitrary code, and involves no financial operations. It is a straightforward read operation that extracts visual data for inspection or further processing.

From the tool's definition Tool name 'extract_frames' and description indicating frame extraction ("从视频中提取帧图片" translates to "extract frame images from video") performs data retrieval without modification or deletion of source content.

Questions about extract_frames

What does the extract_frames tool do? +

从视频中提取帧图片. It is categorised as a Read tool in the FFmpeg Python MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_frames? +

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

extract_frames is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit extract_frames? +

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

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

extract_frames 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.

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