Low Risk

pluggedin_cbp_query

Query collective best practices - privacy-preserving patterns aggregated from the community. Use for proactive warnings before tool calls, post-error suggestions, or contextual enrichment.

How to control pluggedin_cbp_query ↓

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

Low Risk

This tool retrieves information from a knowledge base of best practices. It has no side effects, does not modify data, does not execute code or commands, and does not delete or move resources. The described use cases (warnings, suggestions, enrichment) are all informational reads. It is the least severe category.

From the tool's definition Tool name includes 'query' and description states it 'Query[s] collective best practices' and is used for 'proactive warnings', 'suggestions', or 'contextual enrichment' — all read-only operations that retrieve aggregated community data without modifying or…

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

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

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

pluggedin_cbp_query 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 Pluggedin Mcp Proxy — 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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Go deeper

What does the pluggedin_cbp_query tool do? +

Query collective best practices - privacy-preserving patterns aggregated from the community. Use for proactive warnings before tool calls, post-error suggestions, or contextual enrichment. It is categorised as a Read tool in the Pluggedin Mcp Proxy MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on pluggedin_cbp_query? +

Register the Pluggedin Mcp Proxy MCP server in PolicyLayer and add a rule for pluggedin_cbp_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 Pluggedin Mcp Proxy. Nothing to install.

What risk level is pluggedin_cbp_query? +

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

Can I rate-limit pluggedin_cbp_query? +

Yes. Add a rate_limit block to the pluggedin_cbp_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 pluggedin_cbp_query completely? +

Set action: deny in the PolicyLayer policy for pluggedin_cbp_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 pluggedin_cbp_query? +

pluggedin_cbp_query is provided by the Pluggedin Mcp Proxy MCP server (veriteknik/pluggedin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pluggedin Mcp Proxy tool call.

Deterministic rules across all 27 Pluggedin Mcp Proxy tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

27 Pluggedin Mcp Proxy tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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