analyze_video

Analyze uploaded video metadata, extract frames, run YOLOv8 object detection, and store detected events

SERVERNitrostack SOURCEnitrocloudofficial/nitrostack

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/nitrostack/analyze-video.md

WHAT IT DOES

What analyze_video does on Nitrostack

AI agents invoke analyze_video to trigger actions in Nitrostack. 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.

RISK

Why analyze_video is rated High

Executes ML inference pipeline and stores results, triggering external operations with side effects.

From the tool's definition extract frames, run YOLOv8 object detection, store detected events

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs analyze_video safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Nitrostack, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For analyze_video, this is the rule to start with:

analyze_video Rate-limited

analyze_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": {
    "analyze_video": {
      "limits": [
        {
          "counter": "analyze_video_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Nitrostack, apply this rule, and every analyze_video call is checked against it from then on.

FAQ

Questions about analyze_video

What does the analyze_video tool do? +

Analyze uploaded video metadata, extract frames, run YOLOv8 object detection, and store detected events. It is categorised as a Execute tool in the Nitrostack MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on analyze_video? +

Register the Nitrostack MCP server in PolicyLayer and add a rule for analyze_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 Nitrostack. Nothing to install.

What risk level is analyze_video? +

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

Can I rate-limit analyze_video? +

Yes. Add a rate_limit block to the analyze_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 analyze_video completely? +

Set action: deny in the PolicyLayer policy for analyze_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 analyze_video? +

analyze_video is provided by the Nitrostack MCP server (nitrocloudofficial/nitrostack). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Nitrostack, and thousands of servers like it.

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All 697 Nitrostack tools → High-risk tools on this server →

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ai_analyze on Percepta MCP Server → All high-risk MCP tools → The MCP Attack Database →

Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →