Low Risk

PostgreSQL_memory_usage_analysis

Analyze PostgreSQL memory usage and shared memory statistics.

How to control PostgreSQL_memory_usage_analysis ↓

What PostgreSQL_memory_usage_analysis does on Postgres

AI agents call PostgreSQL_memory_usage_analysis to retrieve information from Postgres without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why PostgreSQL_memory_usage_analysis needs a policy

This tool performs diagnostic analysis by reading PostgreSQL memory statistics. It is purely informational with no side effects, no code execution, no data modification, and no destructive operations. The 'analyze' verb here means 'examine' or 'report on', not 'execute queries against'.

From the tool's definition Tool name and description indicate analysis of memory usage and shared memory statistics - retrieves and queries PostgreSQL internal metrics without modification or execution of commands.

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

How to control PostgreSQL_memory_usage_analysis

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "PostgreSQL_memory_usage_analysis": {}
  }
}

PostgreSQL_memory_usage_analysis is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Postgres — 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.
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Related tools and policies

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Questions about PostgreSQL_memory_usage_analysis

What does the PostgreSQL_memory_usage_analysis tool do? +

Analyze PostgreSQL memory usage and shared memory statistics. It is categorised as a Read tool in the Postgres MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on PostgreSQL_memory_usage_analysis? +

Register the Postgres MCP server in PolicyLayer and add a rule for PostgreSQL_memory_usage_analysis: 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.

What risk level is PostgreSQL_memory_usage_analysis? +

PostgreSQL_memory_usage_analysis is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit PostgreSQL_memory_usage_analysis? +

Yes. Add a rate_limit block to the PostgreSQL_memory_usage_analysis 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 PostgreSQL_memory_usage_analysis completely? +

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

PostgreSQL_memory_usage_analysis is provided by the Postgres MCP server (mukul975/postgres-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Postgres tool call.

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

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

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