vertical_ai_agent_governance

Active

declared in 0.2.0

Generates a comprehensive vertical AI agent workforce integration plan for CHROs, including governance frameworks, human-AI collaboration metrics, and upskilling recommendations. Inputs: industry vertical, workforce size, and current AI adoption level. Outputs: role-specific AI integration roadmaps, skill gap analysis, and performance benchmarks. Uses O*NET skill taxonomies and Gartner AI adoption trends. For best results with large datasets, pass async:true to avoid timeout.

Parameters schema

{
  "type": "object",
  "required": [
    "industry",
    "workforce_size"
  ],
  "properties": {
    "async": {
      "type": "boolean",
      "description": "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 timeouts."
    },
    "industry": {
      "enum": [
        "healthcare",
        "finance",
        "manufacturing",
        "retail",
        "technology",
        "education"
      ],
      "type": "string"
    },
    "target_roles": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "workforce_size": {
      "type": "number",
      "maximum": 500000,
      "minimum": 10
    },
    "ai_adoption_level": {
      "enum": [
        "exploratory",
        "pilot",
        "scaling",
        "mature"
      ],
      "type": "string"
    },
    "include_benchmarks": {
      "type": "boolean",
      "default": true
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.50.

Parent server

@gapup/mcp-knowledge

https://github.com/getgapup/gapup-mcp

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