Execute multiple SQL queries in parallel. Returns all results keyed by query name. Efficient for fetching multiple independent pieces of data in one call. Optionally use server/database/schema params for one-time execution on a different server.
AI agents invoke batch_execute 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 runs SQL code with effects determined by the caller. While it does not inherently delete data, it permits execution of arbitrary SQL including UPDATE, INSERT, or function calls. The ability to target different servers amplifies risk. Classified as Execute rather than Destructive because the tool itself does not mandate destructive operations—that depends on the queries passed to it.
From the tool's definition Tool description states it "Execute[s] multiple SQL queries in parallel" and can run queries "on a different server." The tool accepts arbitrary SQL queries as input (inferred from sibling tools like execute_sql on the same server).
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Execute multiple SQL queries in parallel. Returns all results keyed by query name. Efficient for fetching multiple independent pieces of data in one call. Optionally use server/database/schema params for one-time execution on a different server. 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 batch_execute: 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.
batch_execute 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 batch_execute 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 batch_execute. 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.
batch_execute 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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