execute_query

Execute a SQL query against a Metabase database

SERVERMetabase Analytics Integration Server SOURCEzsh52013148087/metabase-mcp
High RISK CLASS
Category Execute
Parameters 30 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/zsh52013148087-metabase-mcp/execute-query.md

What execute_query does on Metabase Analytics Integration Server

AI agents invoke execute_query to trigger actions in Metabase Analytics Integration Server. 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.

ParameterTypeRequiredDescription
query string SQL query to execute
database_id number ID of the database to query
native_parameters array Optional parameters for the query

Parameters from the server's own tool schema.

Why execute_query is rated High

SQL query execution is fundamentally an Execute-category risk because the effects are entirely argument-dependent: queries could SELECT (Read), INSERT/UPDATE (Write), DROP/DELETE (Destructive), or trigger other side effects based on the SQL provided. An AI agent given this tool without strict input validation could be manipulated into running destructive queries.

From the tool's definition Tool explicitly described as 'Execute a SQL query against a Metabase database'. The verb 'Execute' combined with 'SQL query' indicates arbitrary code execution capability.

Risk signalsAccepts freeform code/query input (query)

Questions about execute_query

What does the execute_query tool do? +

Execute a SQL query against a Metabase database. 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.

What parameters does execute_query accept? +

execute_query accepts 3 parameters: query, database_id, native_parameters. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on execute_query? +

Register the Metabase Analytics Integration Server MCP server in PolicyLayer and add a rule for execute_query: 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 Analytics Integration Server. Nothing to install.

What risk level is execute_query? +

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

Can I rate-limit execute_query? +

Yes. Add a rate_limit block to the execute_query 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_query completely? +

Set action: deny in the PolicyLayer policy for execute_query. 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_query? +

execute_query is provided by the Metabase Analytics Integration Server MCP server (zsh52013148087/metabase-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Metabase Analytics Integration Server, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Metabase Analytics Integration Server's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.