Start the web dashboard on a local port. Returns the URL to open in a browser.
AI agents invoke start_dashboard to trigger actions in Claude Code Toolkit. 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.
Starting a dashboard constitutes executing/triggering an external operation. While not immediately destructive or financial, it initiates a service that could expose system interfaces or data through a web UI. The medium severity reflects that it runs a process with potential exposure, but is local-only and reversible (can be stopped).
From the tool's definition Tool starts a web dashboard process on a local port. The description indicates it triggers an external operation (starting a web server) whose effects depend on execution arguments (port selection).
Documented attack patterns abuse exactly the kind of access start_dashboard gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Claude Code Toolkit, and nothing reaches the server without passing your rules. This is the rule we recommend for start_dashboard:
{
"version": "1",
"default": "deny",
"tools": {
"start_dashboard": {
"limits": [
{
"counter": "start_dashboard_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} start_dashboard 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.
Free to start. No card required.
Start the web dashboard on a local port. Returns the URL to open in a browser. It is categorised as a Execute tool in the Claude Code Toolkit MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude Code Toolkit MCP server in PolicyLayer and add a rule for start_dashboard: 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 Claude Code Toolkit. Nothing to install.
start_dashboard 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 start_dashboard 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 start_dashboard. 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.
start_dashboard is provided by the Claude Code Toolkit MCP server (asifkibria/claude-code-toolkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Claude Code Toolkit, 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.
40 Claude Code Toolkit tools catalogued and risk-classified — across an index of 43,000+ MCP servers.