close_ui
Stop the Project Guardian Web UI server if running. Use after start_ui or to free port 3000.
This record as markdown: /tools/1999azzar-project-guardian-mcp-server/close-ui.md
What close_ui does on Project Guardian MCP
AI agents invoke close_ui to trigger actions in Project Guardian MCP. 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 close_ui is rated High
Terminates a running server process, an external operation with system-level effects.
From the tool's definition Stop the Project Guardian Web UI server if running
Attacks that exploit this kind of access
The rule that runs close_ui safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Project Guardian MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For close_ui, this is the rule to start with:
close_ui 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 Project Guardian MCP, apply this rule, and every close_ui call is checked against it from then on.
Questions about close_ui
Stop the Project Guardian Web UI server if running. Use after start_ui or to free port 3000. It is categorised as a Execute tool in the Project Guardian MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Project Guardian MCP server in PolicyLayer and add a rule for close_ui: 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 Project Guardian MCP. Nothing to install.
close_ui 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 close_ui 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 close_ui. 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.
close_ui is provided by the Project Guardian MCP server (1999azzar/project-guardian-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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