High Risk →

execute_card

Execute a Metabase question/card and get results

Part of the Metabase Analytics Integration Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

ryanmaule/metabase-mcp Execute Risk 3/5

AI agents invoke execute_card to trigger processes or run actions in Metabase Analytics Integration Server. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

execute_card can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

ryanmaule-metabase-mcp.yaml
tools:
  execute_card:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Metabase Analytics Integration Server policy for all 16 tools.

Tool Name execute_card
Category Execute
Risk Level High

View all 16 tools →

Agents calling execute-class tools like execute_card have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

execute_card is one of the high-risk operations in Metabase Analytics Integration Server. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the execute_card tool do? +

Execute a Metabase question/card and get results. It is categorised as a Execute tool in the Metabase Analytics Integration Server 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? +

Add a rule in your Intercept YAML policy under the tools section for execute_card. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Metabase Analytics Integration Server MCP server.

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 Intercept 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 Intercept 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 Analytics Integration Server MCP server (ryanmaule/metabase-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Metabase Analytics Integration Server

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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