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execute_card

Execute an existing question/card and get results

SERVERMetabase MCP SOURCE1luvc0d3/metabase-mcp
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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.

Questions about execute_card

What does the execute_card tool do? +

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.

How do I enforce a policy on execute_card? +

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.

What risk level is execute_card? +

execute_card is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_card? +

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.

How do I block execute_card completely? +

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.

What MCP server provides execute_card? +

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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