Doorstopper enhances the capabilities of your Large Language Model (LLM) by providing a suite of nine practical tools tailored for individuals interested in renting out spare rooms, ADUs, or properties. When integrated into MCP-aware clients such as Claude Desktop, Cursor, or VS Code, it empowers your LLM to deliver insights on potential rental income, generate sample listings, compare rental platforms, and offer guidance for first-time landlords. The server sources its responses from public-domain data like HUD Fair Market Rents FY2025 and Doorstopper product information, ensuring no authentication or user data is required, making it a public discovery layer for rental property information and the Doorstopper service.
Características Principales
01Automatic generation of sample rental listings
02Integration with popular LLM clients via Model Context Protocol (MCP)
03Rental income estimation for spare rooms and ADUs
04Comparison of various rental platforms
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06Guidance for first-time landlords and empty nesters
