AI agents call lightdash_get_catalog to retrieve information from Lightdash MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves catalog metadata for a Lightdash project without any side effects, creation, modification, deletion, or execution of code. It is a straightforward query operation that matches the 'Read' category definition of retrieving or querying data with no side effects.
From the tool's definition Tool name 'lightdash_get_catalog' and description 'Get catalog for a project' indicate data retrieval. The server description confirms this MCP server 'provides tools to list and retrieve projects, spaces, charts, dashboards, and metrics' with no mention of…
Documented attack patterns abuse exactly the kind of access lightdash_get_catalog gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Lightdash MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for lightdash_get_catalog:
{
"version": "1",
"default": "deny",
"tools": {
"lightdash_get_catalog": {}
}
} lightdash_get_catalog is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get catalog for a project. It is categorised as a Read tool in the Lightdash MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Lightdash MCP Server MCP server in PolicyLayer and add a rule for lightdash_get_catalog: 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 Lightdash MCP Server. Nothing to install.
lightdash_get_catalog is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the lightdash_get_catalog 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 lightdash_get_catalog. 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.
lightdash_get_catalog is provided by the Lightdash MCP Server MCP server (syucream/lightdash-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Lightdash MCP 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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13 Lightdash MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.