run_gui_simulation
Step 3b: Open the visual SUMO GUI app on your desktop to view vehicles driving on the map in real-time.
This record as markdown: /tools/nitrostack/run-gui-simulation.md
What run_gui_simulation does on Nitrostack
AI agents invoke run_gui_simulation 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.
Why run_gui_simulation is rated High
Launches external GUI application with side effects; uncontrolled execution could trigger unwanted desktop automation or process spawning.
From the tool's definition Open the visual SUMO GUI app on your desktop to view vehicles driving in real-time.
Attacks that exploit this kind of access
The rule that runs run_gui_simulation 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 run_gui_simulation, this is the rule to start with:
run_gui_simulation 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Nitrostack, apply this rule, and every run_gui_simulation call is checked against it from then on.
Questions about run_gui_simulation
Step 3b: Open the visual SUMO GUI app on your desktop to view vehicles driving on the map in real-time. 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.
Register the Nitrostack MCP server in PolicyLayer and add a rule for run_gui_simulation: 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.
run_gui_simulation is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_gui_simulation 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.
Set action: deny in the PolicyLayer policy for run_gui_simulation. 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.
run_gui_simulation 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.
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