Low Risk

capture_viewport

Capture viewport screenshot

How to control capture_viewport ↓

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

Low Risk

Taking a screenshot is a read-only operation that captures the current state of the viewport. It has no side effects on data, assets, or entities within the PlayCanvas Editor. Misuse potential is minimal.

From the tool's definition "Capture viewport screenshot" — reads/captures the current visual state of the viewport without modifying any data

Documented attack patterns abuse exactly the kind of access capture_viewport gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and PlayCanvas Editor MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for capture_viewport:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "capture_viewport": {}
  }
}

capture_viewport is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register PlayCanvas Editor MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the capture_viewport tool do? +

Capture viewport screenshot. It is categorised as a Read tool in the PlayCanvas Editor MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on capture_viewport? +

Register the PlayCanvas Editor MCP Server MCP server in PolicyLayer and add a rule for capture_viewport: 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 PlayCanvas Editor MCP Server. Nothing to install.

What risk level is capture_viewport? +

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

Can I rate-limit capture_viewport? +

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

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

capture_viewport is provided by the PlayCanvas Editor MCP Server MCP server (playcanvas/editor-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every PlayCanvas Editor MCP Server tool call.

Deterministic rules across all 23 PlayCanvas Editor MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

23 PlayCanvas Editor MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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