create_interactive_dashboard

THE RISK

Medium Risk

Why create_interactive_dashboard needs a policy

This tool creates new data artifacts (HTML dashboards) that persist and can be shared or modified later. It does not execute arbitrary code or destructive operations, nor does it modify underlying data sources—it generates presentation layer outputs. This is a Write operation (creation).

From the tool's definition The tool description states it will 'Generate an interactive HTML dashboard' — a clear creation operation that produces artifacts.

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

POLICY

How to control create_interactive_dashboard

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Data Visualization Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_interactive_dashboard:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_interactive_dashboard": {
      "limits": [
        {
          "counter": "create_interactive_dashboard_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

create_interactive_dashboard stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register MCP Data Visualization Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

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All 28 MCP Data Visualization Server tools →

Write tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about create_interactive_dashboard

What does the create_interactive_dashboard tool do? +

Generate an interactive HTML dashboard with filtering controls and multiple visualizations. It is categorised as a Write tool in the MCP Data Visualization Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_interactive_dashboard? +

Register the MCP Data Visualization Server MCP server in PolicyLayer and add a rule for create_interactive_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 MCP Data Visualization Server. Nothing to install.

What risk level is create_interactive_dashboard? +

create_interactive_dashboard is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_interactive_dashboard? +

Yes. Add a rate_limit block to the create_interactive_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.

How do I block create_interactive_dashboard completely? +

Set action: deny in the PolicyLayer policy for create_interactive_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.

What MCP server provides create_interactive_dashboard? +

create_interactive_dashboard is provided by the MCP Data Visualization Server MCP server (xoniks/mcp-visualization-duckdb). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Data Visualization Server tool call.

Start from MCP Data Visualization Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →