Access China's Property Management AI Expertise Through MCP

Skip building property management domain knowledge from scratch. The CRIC Property Management AI MCP Server brings 20+ years of CRIC's industry expertise directly into your development workflow through a clean MCP interface.

What This Solves

If you're building property management software for the Chinese market, you know the pain: fragmented industry data, constantly changing regulations, and the need for specialized domain knowledge that takes years to accumulate. CRIC has already done this work - they've processed 10 billion characters of industry content and built specialized knowledge bases covering everything from legal compliance to operational best practices.

Three Core Capabilities That Save Development Time

Industry Intelligence Feed

Get real-time property management industry news and insights without building your own monitoring system. Perfect for applications that need to surface relevant industry updates to users.

Specialized Knowledge Search

Query CRIC's curated knowledge bases covering legal regulations, property enterprise data, emergency response protocols, customer complaint handling, and non-residential property research. This isn't generic AI - it's trained on actual industry cases and standards.

Domain-Aware Q&A

Ask specific property management questions and get responses informed by CRIC's proprietary datasets. Ideal for building intelligent help systems or advisory features within your applications.

Real Implementation Scenarios

Compliance Dashboard: Query legal regulation changes and get contextual explanations for property management compliance requirements.

Operational Assistant: Build internal tools that can answer questions about emergency protocols, customer service best practices, or property management case studies.

Market Intelligence: Surface industry trends and competitive insights in your property management platforms.

Training Systems: Create learning modules with access to verified industry knowledge and real case studies.

Getting Started

The server runs in both SSE (HTTP) and stdio modes, making integration straightforward whether you're building web services or desktop applications.

HTTP Mode (Self-hosted):

MODE=http PORT=3011 npx -y @wuye-ai/mcp-server-wuye-ai

Stdio Mode (Tool integration):

CRIC_WUYE_AI_ACCESS_TOKEN=your_token npx -y @wuye-ai/mcp-server-wuye-ai

MCP Client Configuration (Cline example):

{
  "mcpServers": {
    "CRIC物业AI": {
      "transportType": "sse",
      "url": "https://mcp.wuye-ai.cricbigdata.com/sse/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_ACCESS_TOKEN"
      }
    }
  }
}

You'll need a CRIC Property Management AI access token - contact [email protected] to get one.

Why This Matters

Rather than spending months researching property management regulations and best practices, you tap into CRIC's established expertise. They monitor 500+ data sources daily and maintain over 90% accuracy in policy predictions and market analysis.

This MCP server essentially gives you an API to two decades of property management industry knowledge, packaged for easy integration into your development workflow.

The server is already deployed across major Chinese cloud platforms (Alibaba Cloud, Baidu, Tencent), indicating production readiness and enterprise adoption.

For developers building property management solutions in China, this is domain expertise as infrastructure.