MCP.so
ログイン

Elder Care Facility Intelligence

@apifyforge

Elder Care Facility Intelligence について

Elder care facility intelligence delivered as a Model Context Protocol server — assess any nursing home, assisted living, or memory care facility in seconds from your AI client.

基本情報

カテゴリ

その他

ライセンス

MIT

公開者

apifyforge

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "elder-care-facility-intelligence-mcp": {
      "url": "https://ryanclinton--elder-care-facility-intelligence-mcp.apify.actor/mcp"
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Elder Care Facility Intelligence?

Elder Care Facility Intelligence is a Model Context Protocol (MCP) server that assesses any nursing home, assisted living, or memory care facility by orchestrating 9 parallel data sources to produce composite safety scores, complaint pattern analysis, ownership transparency ratings, quality composites, and staff adequacy estimates. It is designed for private equity due diligence, insurance underwriting, family placement decisions, and regulatory oversight.

How to use Elder Care Facility Intelligence?

Add the server URL to your MCP client (Claude Desktop, Cursor, Windsurf) using the JSON configuration below. After connecting, choose one of eight MCP tools, provide the facility name and optional location, and receive a structured JSON report with scores and verdicts in 15–30 seconds. Your Apify API token must be included as a Bearer header or query parameter.

{
  "mcpServers": {
    "elder-care-facility-intelligence-mcp": {
      "url": "https://ryanclinton--elder-care-facility-intelligence-mcp.apify.actor/mcp"
    }
  }
}

Key features of Elder Care Facility Intelligence

  • Four scoring models plus a composite risk verdict (0–100)
  • OSHA violation classification (serious, willful, repeat)
  • CFPB complaint severity triage and cross-platform correlation
  • Staffing keyword NLP from reviews and complaints
  • Nonprofit status verification and corporate complexity scoring
  • Review consistency scoring across Google Maps and Trustpilot
  • Eight specialized MCP tools for granular queries
  • Parallel actor dispatch for sub‑30‑second full assessments

Use cases of Elder Care Facility Intelligence

  • Private equity acquisition due diligence on nursing homes and assisted living operators
  • Insurance risk underwriting for liability and workers’ compensation policies
  • Family placement decisions when researching care facilities for a loved one
  • Portfolio risk monitoring for investors managing multiple elder care properties
  • Regulatory compliance oversight by state agencies and advocacy groups
  • Staffing adequacy auditing by labor organizations using public signals

FAQ from Elder Care Facility Intelligence

What data sources does Elder Care Facility Intelligence use?

It queries OSHA inspections, CFPB consumer complaints, multi‑platform review scrapers, Trustpilot, OpenCorporates (140+ jurisdictions), ProPublica Nonprofit Explorer, Google Maps, and a website contact scraper.

How long does a full assessment take?

A complete composite assessment using facility_safety_assessment typically completes in 15–30 seconds thanks to parallel actor dispatch.

What is the pricing per tool call?

Each tool call costs $0.045, with spending limit enforcement to prevent exceeding a per‑run budget.

Do I need any API keys?

No external API keys are required beyond your Apify API token for authentication. The server manages all data source access internally.

What verdicts does the composite score produce?

The composite risk score translates into five verdicts: RECOMMENDED, ACCEPTABLE, CAUTION, AVOID, and HIGH_RISK, based on a weighted formula combining safety, complaint, ownership, and quality scores.

コメント

「その他」の他のコンテンツ