Elder Care Facility Intelligence

Name: Elder Care Facility Intelligence
Author: apifyforge

@apifyforge

关于 Elder Care Facility Intelligence

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.

基本信息

分类

其他

许可证

MIT

发布者

apifyforge

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.