qbr_auto

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Medium RISK CLASS

Category Write

Parameters 87 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/qbr-auto.md

WHAT IT DOES

What qbr_auto does on Mcp Knowledge

AI agents use qbr_auto to create or update resources in Mcp Knowledge, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Knowledge environment.

Parameter	Type	Required	Description
`wins`	array	Yes
`async`	boolean	—	If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
`period`	object	Yes
`company`	object	Yes
`metrics`	object	Yes
`customer`	object	Yes
`challenges`	array	Yes
`nextQuarterGoals`	array	Yes

Parameters from the server's own tool schema.

RISK

Why qbr_auto is rated Medium

This tool generates a Quarterly Business Review (QBR) document/report with structured, audited output. It produces a deliverable (Write) containing business analysis including health scores, upsell detection, and renewal risk assessment. The mention of 'Upsell €18k détecté' suggests financial recommendations but the tool itself appears to generate reports rather than execute financial transactions.

From the tool's definition QBR automatique CSM — Returns a structured, audited deliverable. Reference case: Gapup Hub × Alan — QBR Q1 2026 · Health score 82/100 · Upsell €18k détecté · Renewal low risk.

Risk signalsHigh parameter count (22 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs qbr_auto safely

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

qbr_auto Rate-limited

qbr_auto stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "qbr_auto": {
      "limits": [
        {
          "counter": "qbr_auto_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about qbr_auto

What does the qbr_auto tool do? +

QBR automatique CSM — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Gapup Hub × Alan — QBR Q1 2026 · Health score 82/100 · Upsell €18k détecté · Renewal low risk. Inputs are validated server-side — send the documented case fields. It is categorised as a Write tool in the Mcp Knowledge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does qbr_auto accept? +

qbr_auto accepts 8 parameters: wins, async, period, company, metrics, customer, challenges, nextQuarterGoals. Required: wins, period, company, metrics, customer, challenges, nextQuarterGoals. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on qbr_auto? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for qbr_auto: 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 Mcp Knowledge. Nothing to install.

What risk level is qbr_auto? +

qbr_auto is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit qbr_auto? +

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

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

qbr_auto is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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