Mashvisor Alternative MCP. Run full due diligence on any market from chat.

You're looking at the Mashvisor Alternative MCP Server, and it gives your AI client access to professional-grade real estate data, market analytics, and property investment metrics through simple tool calls. You use search_properties to run a programmatic search using specific criteria like minimum bedrooms, maximum price limits, or preferred locations across available listings.

For deep due diligence on any single address, you pull everything together with the get_full_property_profile tool; this action returns a complete data sheet including tax history records and Automated Valuation Model (AVM) estimates. You can check basic facts about a property—like how many beds it has or its square footage—by calling get_property_details.

To estimate what the place is really worth, you run get_property_comps, which finds comparable properties that sold nearby to help establish a fair market value. Don't forget ownership records; you use get_ownership_info to identify the current owner and other key details tied to a property ID.

Tracking sales history is critical for due diligence, so you retrieve past transaction details using get_historical_sales, which shows exactly when and for how much a property sold. You can also validate if a city name works with validate_city before running broader lookups, or use list_cities to get a list of all valid cities within a specific state boundary.

When you're analyzing investment potential at the neighborhood level, you call get_neighborhood_overview for a detailed summary of an area, including key investment indicators. To find the best spots in a market, you use get_top_neighborhoods, which lists and ranks the highest-performing neighborhoods within your specified market zone. You can also get average long-term rental rates across a whole neighborhood or city using get_rental_rates.

For broader analysis of an entire metropolitan area, get_city_investment_performance provides a summary of potential and key metrics for the whole city.

Short-term rentals require specific data. You pull current performance metrics for short-term rentals in either defined properties or entire areas using get_airbnb_listings. To analyze trend lines over time, you get 36 months of historical short-term rental (STR) performance data via get_historical_performance. For calculating potential income based on Airbnb metrics, use the specialized rento_calculator_lookup tool.

You can also calculate local investment value by using rento_calculator_lookup in conjunction with other rate data.

For mapping out markets, you run get_marketplace_listings to search and return current available listings from the general real estate marketplace. You start your market investigation by running a comprehensive program search across all filters via search_properties. To get comparable property sales that help estimate value, use get_property_comps, which finds recent local transactions.

If you want to gauge immediate rental potential, you can run specific metrics using the rento_calculator_lookup tool to determine what the area's earning power is.