list_catalogs · MCP Data Visualization Server MCP

WHAT IT DOES

What list_catalogs does on MCP Data Visualization Server

AI agents call list_catalogs to retrieve information from MCP Data Visualization Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

THE RISK

Low Risk

Why list_catalogs needs a policy

This tool performs a read-only operation that retrieves information about available catalogs in Databricks. It does not modify, delete, execute, or create any data or operations. The blast radius is minimal as it only returns informational metadata that would typically be accessible to authorized users. It is a safe introspection tool.

From the tool's definition Tool name 'list_catalogs' and description 'List available Databricks catalogs' indicate querying/retrieving catalog metadata with no side effects.

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

POLICY

How to control list_catalogs

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 list_catalogs:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_catalogs": {}
  }
}

list_catalogs is read-only, so it stays allowed — but 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.

CAP THIS TOOL →

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EXPLORE

Related tools and policies

More MCP Data Visualization Server tools

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All 28 MCP Data Visualization Server tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about list_catalogs

What does the list_catalogs tool do? +

List available Databricks catalogs. It is categorised as a Read tool in the MCP Data Visualization Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_catalogs? +

Register the MCP Data Visualization Server MCP server in PolicyLayer and add a rule for list_catalogs: 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 list_catalogs? +

list_catalogs is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_catalogs? +

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

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

list_catalogs 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.

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28 MCP Data Visualization Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.