Deep Agent Real Estate Orchestrator

Example Use Cases

• 1

  Perform hierarchical multi-agent orchestration with semantic routing in real estate contexts.

• 2

  Integrate classical ML models with generative AI for property valuation and market analysis.

• 3

  Process multimodal data including images and geospatial information for comprehensive real estate insights.

Description

This MCP server implements a production-grade multi-agent system that integrates classical machine learning, retrieval-augmented generation, vision AI, and geospatial analysis to perform complex real estate reasoning, valuation, and market analysis. It uses a FastAPI backend to expose standardized tools to AI agents, enabling hierarchical routing and semantic task delegation among specialized sub-agents. The system enhances accuracy and reduces hallucinations by maintaining strict state orchestration and leveraging advanced vector search and multimodal models.