run_advisors

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-advisors.md

What run_advisors does on Mcpg

AI agents invoke run_advisors 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.

Why run_advisors is rated High

The name 'run_advisors' combined with the PostgreSQL server context strongly indicates execution of advisory functions or diagnostic routines. While these are typically read-only operations (PostgreSQL advisors analyze but don't modify), the 'run' verb indicates active code execution whose effects depend on database state and arguments. This fits Execute rather than Read due to the explicit execution trigger.

From the tool's definition Tool name 'run_advisors' on a PostgreSQL MCP server suggests executing advisory functions. The context of sibling tools (analyze_query_plan, analyze_lock_hotspots, etc.) indicates this tool likely executes database diagnostic/advisory operations.

Questions about run_advisors

What does the run_advisors tool do? +

run_advisors 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_advisors? +

Register the Mcpg MCP server in PolicyLayer and add a rule for run_advisors: 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_advisors? +

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

Can I rate-limit run_advisors? +

Yes. Add a rate_limit block to the run_advisors 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_advisors completely? +

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

run_advisors 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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