knowledge_base_auto

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp

Medium RISK CLASS

Category Write

Parameters 53 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What knowledge_base_auto does on Gapup Mcp

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

Parameter	Type	Required	Description
`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
`focus`	string	—
`company`	object	Yes
`sources`	array	Yes
`topPainPoints`	string	Yes

Parameters from the server's own tool schema.

RISK

Why knowledge_base_auto is rated Medium

The tool appears to create and organize a knowledge base (articles, categories, structure) across integrated platforms like Slack, Notion, and Drive. This is a Write operation as it creates new structured content. It is agent-payable (x402 per-call) but does not directly move money — it charges per call as a service fee, which is more of a platform billing model than a Financial tool action.

From the tool's definition 'Returns a structured, audited deliverable' and 'knowledge base auto · Slack+Notion+Drive · 12 articles seed + structure 8 catégories' — creates/structures content across connected platforms

Risk signalsHigh parameter count (11 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs knowledge_base_auto safely

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

knowledge_base_auto Rate-limited

knowledge_base_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": {
    "knowledge_base_auto": {
      "limits": [
        {
          "counter": "knowledge_base_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 Gapup Mcp, apply this rule, and every knowledge_base_auto call is checked against it from then on.

FAQ

Questions about knowledge_base_auto

What does the knowledge_base_auto tool do? +

Base de connaissance automatique — Gapup agent-payable C-suite expertise (COO). Returns a structured, audited deliverable. Reference case: Klarna — knowledge base auto · Slack+Notion+Drive · 12 articles seed + structure 8 catégories. Inputs are validated server-side — send the documented case fields. It is categorised as a Write tool in the Gapup Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does knowledge_base_auto accept? +

knowledge_base_auto accepts 5 parameters: async, focus, company, sources, topPainPoints. Required: company, sources, topPainPoints. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on knowledge_base_auto? +

Register the Gapup MCP server in PolicyLayer and add a rule for knowledge_base_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 Gapup Mcp. Nothing to install.

What risk level is knowledge_base_auto? +

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

Can I rate-limit knowledge_base_auto? +

Yes. Add a rate_limit block to the knowledge_base_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 knowledge_base_auto completely? +

Set action: deny in the PolicyLayer policy for knowledge_base_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 knowledge_base_auto? +

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

KEEP EXPLORING

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