Execute SQL queries. Supports SELECT, INSERT, UPDATE, DELETE (if not in readonly mode). Use $1, $2 placeholders with params array to prevent SQL injection. Use allowMultipleStatements to run multiple statements separated by semicolons. Use transactionId to run within a transaction. Optionally use...
AI agents invoke execute_sql to trigger actions in Postgres. 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.
This tool executes arbitrary SQL including DML (INSERT, UPDATE, DELETE) and potentially DDL via multiple statements. It can read, modify, or destroy data depending on the query provided. Since it supports DELETE and multiple statements (which could include DROP), it spans from Read to Destructive.
From the tool's definition Execute SQL queries. Supports SELECT, INSERT, UPDATE, DELETE... Use allowMultipleStatements to run multiple statements separated by semicolons.
Attacks that exploit this kind of access
Execute SQL queries. Supports SELECT, INSERT, UPDATE, DELETE (if not in readonly mode). Use $1, $2 placeholders with params array to prevent SQL injection. Use allowMultipleStatements to run multiple statements separated by semicolons. Use transactionId to run within a transaction. Optionally use server/database/schema params for one-time execution on a different server without changing the main connection. It is categorised as a Execute tool in the Postgres MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Postgres 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 Postgres. Nothing to install.
execute_sql 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_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.
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.
execute_sql is provided by the Postgres MCP server (teja-sudo/postgres-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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