README.mdโข1.95 kB
# Real Estate Data Portfolio
This folder contains mock data representing a real estate agent's portfolio and knowledge base.
## Current Implementation
The data is currently stored as static JSON files for demonstration purposes. This provides:
- Easy testing and development
- Consistent, predictable responses
- No external dependencies
- Complete offline functionality
## Modular Architecture
Each data source is designed as a modular component that can be replaced with:
- Independent API endpoints (MLS systems, market analytics platforms)
- Dedicated MCP servers (property search, market analysis, client management)
- AI agents (market trend analysis, client relationship management)
- Live database connections (CRM systems, property databases, market feeds)
This modular design allows swapping static data for live services without changing the core MCP server logic.
## Data Structure
### `/areas/`
- **`city_overview.json`** - City demographics, school districts, neighborhood profiles, and market trends
### `/properties/`
- **`active_listings.json`** - Property listings with specifications, pricing, and agent assignments
### `/agents/`
- **`agent_profiles.json`** - Agent profiles including specializations, experience, and achievements
### `/market/`
- **`market_analytics.json`** - Market data including trends, pricing analysis, and investment opportunities
### `/clients/`
- **`client_database.json`** - Client profiles with preferences, search history, and contact information
### `/amenities/`
- **`local_amenities.json`** - Local area information including schools, parks, shopping, and healthcare
### `/transactions/`
- **`recent_sales.json`** - Transaction history with sale details and market insights
## Usage
This data can be used to:
- Build real estate applications
- Test APIs and integrations
- Train AI systems
- Create analytics dashboards
- Develop MCP servers
- Demonstrate real estate domain knowledge