High Risk →

stop_visualization

Stop the visualization server.

How to control stop_visualization ↓

What stop_visualization does on Mcp Graph Engine

AI agents invoke stop_visualization to trigger actions in Mcp Graph Engine. 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

Why stop_visualization needs a policy

This tool executes a command that terminates a running service. While not destructive of data (it doesn't delete or irreversibly modify stored information) and not a Read or Write operation, it is Execute because it triggers an external operation with side effects beyond the immediate data layer.

From the tool's definition Tool name 'stop_visualization' and description 'Stop the visualization server' indicate it triggers an external operation (stopping a server process) whose effects depend on runtime state.

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

How to control stop_visualization

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Graph Engine, and nothing reaches the server without passing your rules. This is the rule we recommend for stop_visualization:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "stop_visualization": {
      "limits": [
        {
          "counter": "stop_visualization_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

stop_visualization 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 Mcp Graph Engine — 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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Related tools and policies

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Questions about stop_visualization

What does the stop_visualization tool do? +

Stop the visualization server. It is categorised as a Execute tool in the Mcp Graph Engine MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on stop_visualization? +

Register the Mcp Graph Engine MCP server in PolicyLayer and add a rule for stop_visualization: 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 Mcp Graph Engine. Nothing to install.

What risk level is stop_visualization? +

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

Can I rate-limit stop_visualization? +

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

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

stop_visualization is provided by the Mcp Graph Engine MCP server (utilitydelta/mcp-graph-engine). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Graph Engine tool call.

Start from Mcp Graph Engine, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

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