ai_governance_pilot

Pilotage de gouvernance IA — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Reference case: TalentScope SAS — scoring IA candidats RH (EU AI Act Annex III §4, high-risk). Inputs are validated server-side — send the documented case fields.

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Low RISK CLASS

Category Read

Parameters 53 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/ai-governance-pilot.md

WHAT IT DOES

What ai_governance_pilot does on Mcp Knowledge

AI agents call ai_governance_pilot to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

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
`aiUseCases`	array	Yes
`targetFrameworks`	array	Yes

Parameters from the server's own tool schema.

RISK

Why ai_governance_pilot is rated Low

The tool appears to generate a structured governance/audit report (deliverable) related to AI governance and EU AI Act compliance. The core action is analysis and reporting (Read/advisory), not executing code or modifying data. However, 'pilotage' (piloting/steering) and 'C-suite expertise' could imply it triggers operational recommendations or configurations.

From the tool's definition 'Pilotage de gouvernance IA' (AI governance piloting), 'Returns a structured, audited deliverable', 'scoring IA candidats RH (EU AI Act Annex III §4, high-risk)'

Risk signalsHigh parameter count (15 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ai_governance_pilot 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 ai_governance_pilot, this is the rule to start with:

ai_governance_pilot Allowed

ai_governance_pilot is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_governance_pilot": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about ai_governance_pilot

What does the ai_governance_pilot tool do? +

What parameters does ai_governance_pilot accept? +

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

How do I enforce a policy on ai_governance_pilot? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for ai_governance_pilot: 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 ai_governance_pilot? +

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

Can I rate-limit ai_governance_pilot? +

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

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

ai_governance_pilot 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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