Postgres

10 tools. 4 can modify or destroy data without limits.

1 destructive tool with no built-in limits. Policy required.

Last updated:

4 can modify or destroy data
6 read-only
10 tools total

Community server · catalogue entry verified 30/06/2026

How to control Postgres ↓

What Postgres exposes to your agents

Read (6) Write / Execute (3) Destructive / Financial (1)
Critical Risk

The most dangerous Postgres tools

4 of Postgres's 10 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

How to control Postgres

PolicyLayer is an MCP gateway — it sits between your AI agents and Postgres, and nothing reaches the server without passing your rules. These are the rules we recommend:

Deny destructive operations
{
  "delete_rows": {
    "deny_if": [
      {
        "conditions": [],
        "on_deny": "Blocked by default. Requires approval."
      }
    ]
  }
}

Destructive tools should never be available to autonomous agents without human approval.

Rate limit write operations
{
  "insert_row": {
    "limits": [
      {
        "counter": "insert_row_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations
{
  "audit_account_waste": {
    "limits": [
      {
        "counter": "audit_account_waste_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

  1. Create a free account and register Postgres — nothing to install.
  2. Add these rules — paste them, or build them visually. Tune the limits to your setup.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
ENFORCE POLICY ON POSTGRES →

Instant setup, no code required.

All 10 Postgres tools

Related servers

Other MCP servers with similar tools — same risk classification, starter policies for each.

Questions about Postgres

Can an AI agent delete data through the Postgres MCP server? +

Yes. The Postgres server exposes 1 destructive tools including delete_rows. These permanently remove resources with no undo. PolicyLayer blocks destructive tools by default so they never reach the upstream server.

How do I prevent bulk modifications through Postgres? +

The Postgres server has 3 write tools including insert_row, pause_entity, update_rows. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach Postgres.

How many tools does the Postgres MCP server expose? +

10 tools across 3 categories: Destructive, Read, Write. 6 are read-only. 4 can modify, create, or delete data.

How do I enforce a policy on Postgres? +

Register the Postgres MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every Postgres tool call.

Deterministic rules across all 10 Postgres tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Instant setup, no code required.

10 Postgres tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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