HasData Zillow

Zillow MCP Server

A hosted Zillow MCP server that gives Claude, Cursor, Windsurf and any other MCP client two read-only Zillow tools. Search for-sale, for-rent and sold listings with rich filters, and read a single property in full, all as structured JSON, with nothing to host.

It reads public listing pages on Zillow.com that a signed-out visitor can see.

1,000 free credits every month, no card required, which is 100 Zillow calls at the base rate.

https://mcp.hasdata.com/mcp?apis=zillow

• Prompts and resources

Contents

• What you need
• Quick start
• Example prompts
• Tools
• Errors and failure paths
• Pricing, free tier and limits
• Tool selection
• How it compares
• FAQ
• HasData links
• Development
• Contributing
• License

What you need

An MCP client and a HasData API key from the dashboard, free to create with no card, and the free tier covers about 100 calls a month at the 10-credit rate. This is a remote server, so the simplest path is a URL and an x-api-key header, with no container to run. A client that only speaks stdio reaches it through a thin launcher, published as @hasdata/zillow-mcp on npm and hasdata-zillow-mcp on PyPI, shown below.

Quick start

The server URL is the same for every client. We run it hands-on in Claude Code and Claude Desktop. The other blocks follow each client's own documented format for a remote server.

Clients with OAuth support can add the same URL as a connector and sign in without putting a key in a config file.

Claude Code

claude mcp add --transport http zillow "https://mcp.hasdata.com/mcp?apis=zillow" \

--header "x-api-key: HASDATA_API_KEY"

Claude Desktop

Settings, then Connectors, then Add custom connector, then paste https://mcp.hasdata.com/mcp?apis=zillow and sign in.

For the config-file route, Claude Desktop loads only local (stdio) servers, so it reaches a remote server through a stdio launcher. The @hasdata/zillow-mcp package is that launcher, and it reads the key from the environment. Add this to claude_desktop_config.json:

{

"mcpServers": { "zillow": { "command": "npx", "args": ["-y", "@hasdata/zillow-mcp"], "env": { "HASDATA_API_KEY": "YOUR_KEY" } } } }

For Python instead of Node, swap the launcher for the PyPI package, which uvx runs without a manual install:

{

"mcpServers": { "zillow": { "command": "uvx", "args": ["hasdata-zillow-mcp"], "env": { "HASDATA_API_KEY": "YOUR_KEY" } } } }

Cursor

~/.cursor/mcp.json for every project, or .cursor/mcp.json for one:

{

"mcpServers": { "zillow": { "url": "https://mcp.hasdata.com/mcp?apis=zillow", "headers": { "x-api-key": "HASDATA_API_KEY" } } } }

Windsurf

~/.codeium/windsurf/mcp_config.json. Windsurf calls the field serverUrl, not url:

{

"mcpServers": { "zillow": { "serverUrl": "https://mcp.hasdata.com/mcp?apis=zillow", "headers": { "x-api-key": "HASDATA_API_KEY" } } } }

VS Code

.vscode/mcp.json in the workspace:

{

"servers": { "zillow": { "type": "http", "url": "https://mcp.hasdata.com/mcp?apis=zillow", "headers": { "x-api-key": "HASDATA_API_KEY" } } } }

Example prompts

Prompts, not code. Paste one in and the agent picks the tool itself. Each is annotated with the calls it takes, because every successful call costs 10 credits.

Search for-sale homes in Austin, TX with at least three beds under $600k, sorted newest first, and give me the ten most recent with price and days on market.

*One call, 10 credits. Price, beds, area and days on market come back on the search result.*

Take the top result and pull its full detail: price history, tax history, the price estimate, and the assigned schools.

*One call, 10 credits. Those live on the property page, which the details tool reads by URL.*

Find for-rent condos in Austin that allow cats, then pull the rental estimate on the three cheapest.

*Four calls, 40 credits. One search, then one property call for each of the three.*

For this property URL, give me the list price, the price estimate, and the last three sales in its price history.

*One call, 10 credits.*

A search result is enough to rank and shortlist. Price history, tax history, the estimate, schools and the agent come from the property call, so a prompt that shortlists then inspects three homes is one search plus three property calls.

Tools

Two tools, read-only. Samples below are trimmed from real calls, and the numbers move as the market moves. Read them as shapes. Each tool name links to its endpoint reference, which carries the full field list.

The samples are the payload, not the whole response. A tools/call result carries one text block, and that text is itself JSON holding url, status, text and json, with the scraped data under json. From a raw JSON-RPC response the path is result.content[0].text, parsed, then .json. A chat client unwraps that for you and code talking to the endpoint directly does not.

Get Zillow real estate listings

hasdata_zillow_listing_getRealEstateListings

A page of listings by location keyword, filtered.

The reference also documents square-footage, lot-size, year-built and HOA bands, plus otherAmenities__, views__, pets__, listingType, propertyStatus__, listingPublishOptions__ and more.

Returns searchInformation with totalResults, a properties array, and pagination whose nextPage is the URL of the following page. Each property carries id, url, homeType, status, price, currency, a rentZestimate rental estimate, daysOnZillow, area in square feet, addressRaw and a structured address, latitude, longitude, beds, baths, listingDetails, mediaDetails and photos.

{

"id": "60134551", "url": "https://www.zillow.com/homedetails/6116-Speyside-Dr-Austin-TX-78754/60134551_zpid/", "homeType": "SINGLE_FAMILY", "status": "FOR_SALE", "price": 320000, "currency": "$", "rentZestimate": 2286, "daysOnZillow": 0, "area": 2277, "address": { "street": "6116 Speyside Dr", "city": "Austin", "state": "TX", "zipcode": "78754" }, "beds": 4, "baths": 3 }

Get Zillow property details

hasdata_zillow_property_getPropertyDetails

One property in full, by its URL.

Returns the full page: price, currency, fees, beds, baths, area, yearBuilt, homeType, mlsId, a structured address and geo, the description and highlights, photos, schools, daysOnZillow, views, saves, an agentInfo block, and priceHistory, taxHistory and mortgage arrays. Zillow's own price estimate arrives in a zestimate object holding zestimate, an estimatedSaleRange and a rentZestimate. Read it as an estimate, not as a confirmed value.

area is an object here, { livingArea, livingAreaUnits }, not the flat number the search tool returns. Read area.livingArea for the square footage on a property page, or a numeric comparison like area > 2000 silently fails against an object.

{

"id": 60134551, "status": "FOR_SALE", "price": 320000, "currency": "USD", "yearBuilt": 2002, "beds": 4, "baths": 3, "area": { "livingArea": 2277, "livingAreaUnits": "Square Feet" }, "fees": { "monthlyHoaFee": "$500 annually" }, "zestimate": { "zestimate": 318100, "estimatedSaleRange": "$302K - $334K", "rentZestimate": 2286 }, "address": { "street": "6116 Speyside Dr", "county": "Travis County" }, "agentInfo": { "agentName": "Marie Coleman", "brokerName": "eXp Realty" }, "priceHistory": [{ "date": "2026-08-24", "price": 320000, "event": "listedForSale" }], "schools": { "elementarySchool": { "name": "Bluebonnet Trail", "district": "Manor ISD" } } }

Prompts and resources

The server ships 2 prompts, ready-made workflows a client can offer instead of making the user compose a tool call.

Alongside them the server exposes 11 resources, one per parameter whose accepted values are a fixed list. Reading one is cheaper than learning the vocabulary from a rejected call, and it costs no credits. Each URI is hasdata://zillow/ .