execute_card
Execute an existing question/card and get results
This record as markdown: /tools/1luvc0d3-metabase-mcp/execute-card.md
What execute_card does on Metabase MCP
AI agents invoke execute_card to trigger actions in Metabase MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why execute_card is rated High
This tool runs a pre-defined query/card against a database and returns results. While the query itself is pre-defined (limiting some risks), execution of arbitrary queries can still access sensitive data, generate expensive operations, or trigger side effects depending on what the stored card does.
From the tool's definition Tool name 'execute_card' combined with description 'Execute an existing question/card and get results' directly indicates execution of stored queries/cards. The verb 'execute' is explicit.
Attacks that exploit this kind of access
The rule that runs execute_card safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Metabase MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For execute_card, this is the rule to start with:
execute_card stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Metabase MCP, apply this rule, and every execute_card call is checked against it from then on.
Questions about execute_card
Execute an existing question/card and get results. It is categorised as a Execute tool in the Metabase MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Metabase MCP server in PolicyLayer and add a rule for execute_card: 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 Metabase MCP. Nothing to install.
execute_card is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the execute_card 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 execute_card. 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.
execute_card is provided by the Metabase MCP server (1luvc0d3/metabase-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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