render_project

Render the active multitrack CutPilot timeline with mixed audio and optional burned captions.

SERVERCutpilot SOURCEHellotravisss/cutpilot

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/cutpilot/render-project.md

WHAT IT DOES

What render_project does on Cutpilot

AI agents use render_project to create or update resources in Cutpilot, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Cutpilot environment.

RISK

Why render_project is rated Medium

An AI agent can call render_project faster than any human can review: one bad instruction and it creates or modifies resources in Cutpilot by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs render_project safely

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

render_project Rate-limited

render_project 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": {
    "render_project": {
      "limits": [
        {
          "counter": "render_project_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about render_project

What does the render_project tool do? +

Render the active multitrack CutPilot timeline with mixed audio and optional burned captions. It is categorised as a Write tool in the Cutpilot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on render_project? +

Register the Cutpilot MCP server in PolicyLayer and add a rule for render_project: 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 Cutpilot. Nothing to install.

What risk level is render_project? +

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

Can I rate-limit render_project? +

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

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

render_project is provided by the Cutpilot MCP server (Hellotravisss/cutpilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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