AI agents call dbt_show to retrieve information from dbt CLI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
dbt_show most likely queries and returns data from dbt models without side effects, fitting the Read category. However, the empty description and potential for executing arbitrary SQL queries against production databases creates medium severity risk if an agent misuses it with sensitive data or misconfigured environments. Confidence is moderate due to lack of explicit documentation.
From the tool's definition Tool name 'dbt_show' and context from sibling dbt tools suggest it retrieves or displays data/model outputs without modifying data. No description provided, reducing confidence.
Documented attack patterns abuse exactly the kind of access dbt_show gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and dbt CLI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for dbt_show:
{
"version": "1",
"default": "deny",
"tools": {
"dbt_show": {}
}
}dbt_show is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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dbt_show. It is categorised as a Read tool in the dbt CLI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the dbt CLI MCP Server MCP server in PolicyLayer and add a rule for dbt_show: 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 dbt CLI MCP Server. Nothing to install.
dbt_show 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 dbt_show 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 dbt_show. 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.
dbt_show is provided by the dbt CLI MCP Server MCP server (mammothgrowth/dbt-cli-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from dbt CLI 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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9 dbt CLI MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.