# Zoopla MCP > Zoopla connects your AI agent directly to UK property market data. You can search current listings for sale or rent, check average sold prices in any area, find local statistics like crime rates and education scores, or determine a neighborhood's general value using the Zed-Index. ## Overview - **Category:** real-estate - **Price:** Free - **Tags:** uk-property, house-prices, real-estate-data, market-analysis, property-search ## Description Need to evaluate a potential investment? Zoopla lets your AI client pull together a full picture of any UK location. You can start by asking for current listings, filtering properties instantly by price range or number of bedrooms. To validate that area, you can check historical average sold prices and get the current Zed-Index value for instant context. For deeper due diligence, the system pulls local info graphs showing demographics, crime rates, and education levels right into your chat window. Plus, it pinpoints the most expensive and least expensive streets in a given area. Because property data requires handling sensitive keys—and you don't want those keys sitting on a disk—Vinkius handles all credential passage through a zero-trust proxy. This means you get the full market picture without ever compromising security. ## Tools ### average_sold_prices Gets the average amount paid for properties sold in a specific area. ### local_info_graphs Retrieves links to graphs that show local statistics like crime and schooling levels. ### property_listings Gets a list of properties currently available for sale or rent in an area. ### property_rich_list Identifies the most and least expensive streets within a given neighborhood. ### zed_index Retrieves the overall average property value index for a target area. ## Prompt Examples **Prompt:** ``` Search for 3-bedroom houses for sale in London between £500,000 and £800,000. ``` **Response:** ``` I'm searching Zoopla for 3-bedroom houses in London within your price range... I found several listings, including a semi-detached house in Greenwich for £650,000 and a modern terrace in Fulham for £795,000. Would you like more details on any of these? ``` **Prompt:** ``` What is the average sold price in the SW1 area? ``` **Response:** ``` Fetching average sold prices for SW1... According to Zoopla, the average sold price in the SW1 outcode over the last period was approximately £1,250,000. This area typically sees high-value transactions due to its central location. ``` **Prompt:** ``` Show me the most expensive streets in Manchester and any local info graphs available. ``` **Response:** ``` Retrieving the Manchester Rich List and local statistics... The most expensive street is currently 'Victoria Park' with an average value of £1.2M. I also have URLs for graphs showing local crime rates and education levels in the area. Would you like me to provide those links? ``` ## Capabilities ### Search for current property listings Find available houses and flats for sale or rent in specific UK areas. ### Calculate local average value Determine the typical worth of a home in an area using specialized market indices. ### Analyze historical sales trends Retrieve data on what similar properties sold for over time to gauge market movement. ### Assess neighborhood profile Get URLs pointing to local statistics, including crime rates and educational metrics. ### Identify high-value streets Pinpoint the most expensive and least expensive streets within a defined area. ## Use Cases ### Evaluating a new investment zone A developer needs to check out three potential sites. They ask their agent to run average_sold_prices for all three areas, then use the zed_index on each one, and finally get local_info_graphs to compare demographic stability before making a site selection. ### Finding a first family home A buyer is interested in an area but isn't sure if it’s right. They use property_listings to see what’s available, then ask for the zed_index and local info graphs to ensure the crime rate and school quality meet their standards. ### Building a comparative market report A data analyst needs a report on high-value areas. They use property_rich_list to find the top streets, then run average_sold_prices for those streets over the last year, compiling all data points into one document. ### Validating listing pricing A user finds a unique listing price. They ask their agent to check that area's zed_index and run property_listings for similar homes just before or after the listed date to see if the asking price is in line with market reality. ## Benefits - Go beyond simple searches. You can validate a location's true worth by cross-referencing the Zed-Index with historical average sold prices, giving you a much fuller picture than any single listing page provides. - Stop guessing about a neighborhood. By pulling local info graphs, you get objective data on crime rates and education levels—essential context for both buyers and investors. - Need to narrow your focus? Use property_listings to filter through hundreds of available properties based on exact criteria (beds, price) without leaving the chat interface. - Understand market movement by checking average sold prices. This tool lets you spot if a neighborhood is steadily appreciating or plateauing over time. - Pinpoint prime real estate zones using the property_rich_list to see which streets command the highest premiums and where value might be dropping off. ## How It Works The bottom line is you get complex, multi-layered market reports from one conversational prompt. 1. First, connect your API key to the Vinkius platform. You'll select Zoopla as one of the available MCPs. 2. Next, you simply ask your agent a question—for instance, 'What are the average sold prices in SW1?' Your AI client handles the rest, running the necessary tool calls. 3. Finally, the system returns clean, contextual data directly to your chat window, whether that's a list of properties or a graph URL. ## Frequently Asked Questions **How do I use the zed_index tool with property_listings?** You run them sequentially. First, find a neighborhood you like using property_listings for general context. Then, immediately follow up by asking for the zed_index of that specific area to validate its overall market value. **Can I compare different neighborhoods’ local info graphs?** Yes. You can ask your agent to retrieve local_info_graphs URLs for two or three distinct areas in one go, letting you easily compare crime rates or educational metrics side-by-side. **Which tool should I use if I only want sold prices?** Use average_sold_prices. This specific tool pulls the historical sales data for a given area, letting you see what people actually paid over time. **Is this MCP better than just using Google Maps?** It's much more precise. While maps show location, this MCP provides verifiable market metrics like property_rich_list data and statistically backed local info graphs that are impossible to find in a simple map search. **When using `property_rich_list`, how does Vinkius handle my Zoopla API Key?** The system uses a zero-trust proxy for all key usage. Your credentials pass through in transit but never get stored on disk, keeping your data secure. **If I need to analyze many areas using `zed_index`, are there rate limits or performance considerations?** The MCP handles connection throttling and manages calls efficiently. If you run too many queries in quick succession, the system will pause and notify your agent. **Does calling `local_info_graphs` provide raw data or just image URLs for local statistics?** It provides direct URL endpoints to visual data graphs. Your AI client can then fetch these links and present the associated neighborhood metrics. **If I run `average_sold_prices` using a very large or ambiguous postcode, how does it report results?** The MCP is designed to pinpoint the best match for the provided area. If ambiguity exists, it will return all possible matches and ask your agent which one you want. **Can I find the average property value for a specific UK postcode?** Yes. You can use the `zed_index` tool by providing the area name and setting the `output_type` to 'outcode' to get the average property value (Zed-Index) for that location. **How do I see which streets are the most expensive in a particular town?** Use the `property_rich_list` tool. Simply provide the area name, and the agent will return a list of the most and least expensive streets in that area based on Zoopla data. **Can I filter property searches by price range and number of bedrooms?** Absolutely. The `property_listings` tool allows you to specify `minimum_price`, `maximum_price`, `minimum_beds`, and `maximum_beds` to narrow down your search results.