run_analytical_query

A execute tool on the Mcpg MCP server.

SERVERMcpg SOURCEpypi:mcpg

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-devopam-mcpg/run-analytical-query.md

WHAT IT DOES

What run_analytical_query does on Mcpg

AI agents invoke run_analytical_query to trigger actions in Mcpg. 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.

RISK

Why run_analytical_query is rated High

Executes arbitrary SQL queries on production database with potentially severe unintended consequences.

From the tool's definition run_analytical_query on PostgreSQL server; uninformative description

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs run_analytical_query safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcpg, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_analytical_query, this is the rule to start with:

run_analytical_query Rate-limited

run_analytical_query stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_analytical_query": {
      "limits": [
        {
          "counter": "run_analytical_query_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcpg, apply this rule, and every run_analytical_query call is checked against it from then on.

FAQ

Questions about run_analytical_query

What does the run_analytical_query tool do? +

run_analytical_query is a execute tool on the Mcpg MCP server. It is categorised as a Execute tool in the Mcpg MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_analytical_query? +

Register the Mcpg MCP server in PolicyLayer and add a rule for run_analytical_query: 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 Mcpg. Nothing to install.

What risk level is run_analytical_query? +

run_analytical_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_analytical_query? +

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

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

run_analytical_query is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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