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Elder Care Facility Intelligence MCP Server

@apifyforge

基本情報

カテゴリ

その他

ライセンス

MIT

認証方式

oauth

作者

apifyforge

Elder Care Facility Intelligence MCP Server 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.

Elder Care Facility Intelligence MCP Server の設定

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"
    }
  }
}

Elder Care Facility Intelligence MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

このサーバーは認証が必要です。ツールの取得にはログインや提供元の認証情報が必要な場合があります。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

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

よくある質問

1

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.

2

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.

3

What is the pricing per tool call?

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

4

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.

5

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.

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