Get metrics catalog for a project
AI agents call lightdash_get_metrics_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 metrics catalog information from a Lightdash project. The 'get' verb and passive description indicate a read-only operation that returns data without creating, modifying, deleting, or executing any operations. Consistent with sibling tools like lightdash_get_analytics, lightdash_get_dashboards_as_code, and lightdash_get_metadata, which are all data retrieval operations.
From the tool's definition Tool name includes 'get' and description states 'Get metrics catalog for a project' — this retrieves/queries data with no modification or side effects.
Documented attack patterns abuse exactly the kind of access lightdash_get_metrics_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_metrics_catalog:
{
"version": "1",
"default": "deny",
"tools": {
"lightdash_get_metrics_catalog": {}
}
} lightdash_get_metrics_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 metrics 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_metrics_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_metrics_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_metrics_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_metrics_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_metrics_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.