Real Estate
Manages and analyzes real estate data through a comprehensive Model Context Protocol server.
Acerca de
This project showcases a comprehensive Model Context Protocol (MCP) server designed for robust real estate data management. It provides a powerful framework with over 30 tools, 10 resources, and 5 prompts to streamline operations related to property listings, agent management, market analysis, client relationships, and area intelligence. Built with a modular Python architecture, the server leverages Server-Sent Events (SSE) for real-time, web-compatible communication, making it an ideal demo for building intelligent, data-driven applications in the real estate domain.
Características Principales
- Over 30 comprehensive tools for real estate operations
- 10 resources (static and dynamic templates) for data access
- 5 user-controlled prompts for analysis and reporting
- Server-Sent Events (SSE) transport for real-time, web-compatible communication
- Modular and componentized architecture for scalability and maintainability
- 2 GitHub stars
Casos de Uso
- Streamlining property search and detailed insights for real estate platforms
- Conducting in-depth market analysis and investment opportunity assessments
- Automating client property matching and personalized recommendations
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