lnd_ai_skill_forecast

Active

declared in 0.2.0

Forecasts AI skill demand trends for CHROs by analyzing patent filings (USPTO PatFT) and job postings (BLS API). Returns 12-month skill demand projections with confidence scores, helping HR leaders prioritize workforce upskilling. Inputs: target AI skills (e.g., 'machine learning', 'NLP'), geographic focus (US state/country), and forecast horizon. Outputs include skill growth rates, patent filing trends, and job posting volumes. Keywords: AI workforce planning, skill gap analysis, talent strategy, patent trends, labor market data.

Parameters schema

{
  "type": "object",
  "required": [
    "skills",
    "region"
  ],
  "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."
    },
    "region": {
      "type": "string",
      "description": "Geographic focus (US state code or 'US' for national, e.g., 'CA', 'US')"
    },
    "skills": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "List of AI-related skills to forecast (e.g., ['machine learning', 'computer vision'])"
    },
    "horizon_months": {
      "type": "number",
      "default": 12,
      "description": "Forecast horizon in months (3-24, default 12)"
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.70.

Parent server

@gapup/mcp-knowledge

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

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