High Risk →

stability-ai-control-sketch

Translate hand-drawn sketches to production-grade images.

How to control stability-ai-control-sketch ↓

AI agents invoke stability-ai-control-sketch to trigger actions in Stability AI MCP Server. 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.

High Risk

This tool takes input (a sketch) and triggers an external API operation to generate/transform it into an image. It executes a generation process via Stability AI's API with effects dependent on the input arguments. It's not purely a read operation, and while it writes output, the primary action is executing an AI image generation pipeline on an external service.

From the tool's definition Translate hand-drawn sketches to production-grade images

Documented attack patterns abuse exactly the kind of access stability-ai-control-sketch gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Stability AI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for stability-ai-control-sketch:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "stability-ai-control-sketch": {
      "limits": [
        {
          "counter": "stability-ai-control-sketch_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

stability-ai-control-sketch 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.

  1. Create a free account and register Stability AI 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.
RATE-LIMIT THIS TOOL →

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Go deeper

What does the stability-ai-control-sketch tool do? +

Translate hand-drawn sketches to production-grade images. It is categorised as a Execute tool in the Stability AI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on stability-ai-control-sketch? +

Register the Stability AI MCP Server MCP server in PolicyLayer and add a rule for stability-ai-control-sketch: 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 Stability AI MCP Server. Nothing to install.

What risk level is stability-ai-control-sketch? +

stability-ai-control-sketch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit stability-ai-control-sketch? +

Yes. Add a rate_limit block to the stability-ai-control-sketch 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 stability-ai-control-sketch completely? +

Set action: deny in the PolicyLayer policy for stability-ai-control-sketch. 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 stability-ai-control-sketch? +

stability-ai-control-sketch is provided by the Stability AI MCP Server MCP server (tadasant/mcp-server-stability-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Stability AI MCP Server tool call.

Deterministic rules across all 14 Stability AI MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

14 Stability AI MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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