The us.lotlytics/lotlytics-mcp server provides US real estate market data for AI agents, including prices, yields, forecasts, and investment scores across 894 markets. It is designed for MCP-compatible assistants such as Claude, Cursor, and Windsurf.
🛠️ Key Features
- Market data for 894 US markets
- Prices, yields, forecasts, and investment health scores
🚀 Use Cases
- Assess whether a specific city (e.g., Nashville) is a good investment market
- Compare markets for rental investing (e.g., Austin vs Charlotte)
- Filter for markets meeting constraints (e.g., Texas under $300k with yield above 5%)
- Retrieve investment health score for a given market (e.g., Phoenix AZ)
⚡ Developer Benefits
- Compatible with MCP-compatible AI assistants (Claude, Cursor, Windsurf, and more)
- No account required (per README)
⚠️ Limitations
- The provided information does not describe data freshness, coverage beyond 894 markets, or the specific tool endpoints beyond a tool count of 5
Topics
- ai, claude, fastmcp, mcp, mcp-server, python, real-estate, real-estate-analytics