This record as markdown: /tools/io-github-devopam-mcpg/recommend-ivfflat-probes.md
What recommend_ivfflat_probes does on Mcpg
AI agents call recommend_ivfflat_probes to retrieve information from Mcpg without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why recommend_ivfflat_probes is rated Low
IVFFlat refers to an approximate nearest neighbor index method in PostgreSQL (e.g., via pgvector). A 'recommend' function likely analyzes index parameters and returns suggestions without modifying data. However, the description is empty, lowering confidence.
From the tool's definition Tool name 'recommend_ivfflat_probes' and empty description. IVFFlat is a PostgreSQL vector index type; 'recommend' suggests advisory/read-only analysis.
Attacks that exploit this kind of access
The rule that runs recommend_ivfflat_probes 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 recommend_ivfflat_probes, this is the rule to start with:
recommend_ivfflat_probes is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcpg, apply this rule, and every recommend_ivfflat_probes call is checked against it from then on.
Questions about recommend_ivfflat_probes
recommend_ivfflat_probes is a read tool on the Mcpg MCP server. It is categorised as a Read tool in the Mcpg MCP Server, which means it retrieves data without modifying state.
Register the Mcpg MCP server in PolicyLayer and add a rule for recommend_ivfflat_probes: 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.
recommend_ivfflat_probes is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the recommend_ivfflat_probes 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.
Set action: deny in the PolicyLayer policy for recommend_ivfflat_probes. 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.
recommend_ivfflat_probes 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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