High Risk →

execute_sql

Execute SQL query using /api/v1/sqllab/execute/ endpoint

How to control execute_sql ↓

What execute_sql does on Superset

AI agents invoke execute_sql to trigger actions in Superset. 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.

High Risk

Why execute_sql needs a policy

SQL execution is a classic Execute category risk: it runs code whose effects depend on the query argument. While a sibling tool 'delete_dataset' is Destructive, this tool itself permits both read and write operations (SELECT, INSERT, UPDATE, DELETE, DROP) depending on the SQL provided.

From the tool's definition Tool name is 'execute_sql' and description states it 'Execute[s] SQL query using /api/v1/sqllab/execute/ endpoint'. This directly executes arbitrary SQL code.

Documented attack patterns abuse exactly the kind of access execute_sql gives an agent:

How to control execute_sql

PolicyLayer is an MCP gateway — it sits between your AI agents and Superset, and nothing reaches the server without passing your rules. This is the rule we recommend for execute_sql:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_sql": {
      "limits": [
        {
          "counter": "execute_sql_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

execute_sql 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.

  1. Create a free account and register Superset — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about execute_sql

What does the execute_sql tool do? +

Execute SQL query using /api/v1/sqllab/execute/ endpoint. It is categorised as a Execute tool in the Superset 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_sql? +

Register the Superset MCP server in PolicyLayer and add a rule for execute_sql: 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 Superset. Nothing to install.

What risk level is execute_sql? +

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

Can I rate-limit execute_sql? +

Yes. Add a rate_limit block to the execute_sql 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_sql completely? +

Set action: deny in the PolicyLayer policy for execute_sql. 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_sql? +

execute_sql is provided by the Superset MCP server (winding2020/superset-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Superset tool call.

Start from Superset, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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