Low Risk

stats_correlation

Calculate correlation between two numeric columns (Pearson or Spearman)

How to control stats_correlation ↓

What stats_correlation does on Postgres Mcp Legacy

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

Low Risk

Why stats_correlation needs a policy

This tool retrieves and analyzes data (correlation calculation) with no side effects, reversibility concerns, or external state changes. It is a pure statistical read operation on column data. The deprecated server status and sibling tools (analyze_db_health, explain_query) confirm this is part of a monitoring/analytics suite, not a data modification tool.

From the tool's definition Tool 'stats_correlation' calculates correlation between numeric columns using statistical methods (Pearson or Spearman).

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

How to control stats_correlation

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

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

stats_correlation 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 Mcp Legacy — 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 stats_correlation

What does the stats_correlation tool do? +

Calculate correlation between two numeric columns (Pearson or Spearman). It is categorised as a Read tool in the Postgres Mcp Legacy MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on stats_correlation? +

Register the Postgres Mcp Legacy MCP server in PolicyLayer and add a rule for stats_correlation: 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 Mcp Legacy. Nothing to install.

What risk level is stats_correlation? +

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

Can I rate-limit stats_correlation? +

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

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

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

Enforce policy on every Postgres Mcp Legacy tool call.

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

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

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