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Real Estate & Property MCP Servers: Connect Your AI to Idealista, Zillow, Follow Up Boss, and More

A complete guide to MCP servers for real estate platforms. Give Claude or Cursor access to property listings, market data, CRM contacts, and transaction pipelines from Idealista, Zillow, Follow Up Boss, Buildium, and more — with managed hosting and secure property data handling.

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Vinkius Team
April 10, 2026
Real Estate & Property MCP Servers: Connect Your AI to Idealista, Zillow, Follow Up Boss, and More
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Real estate is a data-intensive industry that still runs on manual processes. Agents check Idealista or Zillow for listing data, switch to Follow Up Boss or kvCORE for leads, open Buildium for property management, and pull up Google Sheets for deal tracking. According to the National Association of Realtors’ 2024 Technology Survey, agents spend 57% of their work time on non-revenue-generating activities — searching MLS systems, updating CRM records, and compiling market reports.

What if your AI could do all of that with a single conversation?

“Show me all 3-bedroom apartments in Lisbon under €400K that have been on market for more than 60 days. Cross-reference with any leads in Follow Up Boss who are searching in that criteria.”

That query combines listing data, market intelligence, and CRM data into one answer — work that currently requires 3 tools and 30 minutes.

In this guide, we cover every real estate MCP server in our catalog — listing platforms, CRM tools, property management software, and market intelligence — what each one gives your AI, and the workflows that transform how agents, investors, and property managers work.


Listings & Market Data

Idealista MCP

Idealista is the largest real estate portal in Southern Europe — the dominant platform for property listings in Spain, Portugal, and Italy, with over 2 million active listings and 32 million monthly visits. For any agent, investor, or buyer operating in these markets, Idealista is the primary data source.

What your AI can do once connected:

  • Property search — filter by location, price, bedrooms, size, features, and listing type (sale/rent)
  • Market analytics — average price per square meter by neighborhood, district, or city
  • Listing monitoring — new listings matching your criteria, price changes, and delisted properties
  • Investment comparison — rental yield estimates, price trends, and supply/demand indicators
  • Days on market analysis — identify overpriced listings and negotiation opportunities

Real-world workflows this unlocks:

Investment analysis. A real estate investor asks: “Compare rental yields in Porto’s Ribeira district vs. Foz do Douro over the last 12 months. Which one has better cash-on-cash return at current asking prices?” The AI queries Idealista’s market data: “Ribeira: avg asking price €3,200/sqm, avg rent €14/sqm/month → gross yield 5.25%. Foz do Douro: avg asking price €4,100/sqm, avg rent €16/sqm/month → gross yield 4.68%. Ribeira offers 12% better yield, but Foz has 8% better appreciation trajectory.”

Buyer matching. An agent asks: “Which properties listed this week in Madrid’s Salamanca district match the criteria for my high-net-worth buyer looking for 4+ bedrooms, 200+ sqm, with parking?” The AI scans new Idealista listings and returns: “3 matches this week. 1) Calle Serrano, 245 sqm, 4BR, €1.2M (€4,900/sqm — 8% below district average). 2) Calle Velázquez, 280 sqm, 5BR, €1.8M (€6,400/sqm — 15% above average, penthouse with terrace). 3) Calle Príncipe de Vergara, 210 sqm, 4BR, €950K (€4,500/sqm — probate sale, below market).”

Market timing intelligence. An agent preparing a pricing recommendation asks: “How many properties in Barcelona’s Gracia neighborhood have been listed for more than 90 days, and what was their original asking price vs. current?” The AI identifies overpriced inventory and average price reductions — intelligence that helps set competitive listing prices.

Example prompts:

  • “Show me all 3-bedroom apartments for sale in Lisbon under €400K”
  • “What’s the average price per square meter in Madrid’s Salamanca district?”
  • “How many new listings were published in Barcelona this week?”
  • “Compare rental yields in Porto vs. Lisbon city center”
  • “Which properties have been on market for more than 90 days in Valencia?”

Connect: Idealista MCP in our App Catalog →


Zillow MCP

Zillow is the most visited real estate website in the United States with over 220 million monthly unique users. Its Zestimate algorithm provides automated home valuations for over 100 million US properties.

What your AI can do once connected:

  • Property valuations — Zestimate values, rental Zestimates, and valuation confidence scores
  • Comparable sales — recent transactions near any property with sale price, dates, and property details
  • Market trends — neighborhood and ZIP-level price changes, inventory levels, and days on market
  • Listing search — active listings with full details (price, photos, features, tax history)
  • Mortgage data — current rates and monthly payment estimates

Real-world workflow: Before making an offer, a buyer’s agent asks: “What’s the Zestimate for 123 Main Street, Austin TX? Show me the 5 most comparable recent sales within 1 mile.” The AI responds: “Zestimate: $485,000 (confidence: High). 5 comps within 1 mile: range $440K-$520K, median $472K. The property’s asking price of $499K is 3% above Zestimate — consider offering $475K based on comp median.”

Example prompts:

  • “What’s the Zestimate for 123 Main Street, Austin TX?”
  • “Show me comparable sales within 1 mile — last 6 months”
  • “How have home values changed in Denver this year?”
  • “Find all listings under $500K with 3+ bedrooms in Raleigh”

Connect: Zillow MCP in our App Catalog →


Real Estate CRM

Follow Up Boss MCP

Follow Up Boss is the CRM purpose-built for real estate teams — managing leads from 200+ sources (Zillow, Realtor.com, Facebook Ads, Google Ads, website forms), automating follow-up sequences, and tracking agent performance. Over 30,000 real estate professionals use it daily.

What your AI can do once connected:

  • Lead management — search by source, status, assigned agent, or last activity date
  • Follow-up intelligence — overdue follow-ups, uncontacted leads, and response time metrics
  • Source performance — which lead sources convert best and at what cost
  • Agent analytics — response times, contact rates, and conversion rates by agent
  • Pipeline visibility — leads by stage from new inquiry to closed transaction

Real-world workflow: On Monday morning, a team leader asks: “Which leads haven’t been contacted in 48 hours? Also, which lead sources had the highest close rate last quarter?” The AI checks Follow Up Boss: “12 leads uncontacted for 48+ hours: 5 from Zillow (assigned to Maria), 4 from website (assigned to Carlos), 3 from Facebook (assigned to James). Lead source close rates last quarter: Referrals: 18%, Website: 7%, Zillow: 4%, Facebook: 2%. Recommendation: prioritize the 5 Zillow leads — they have the highest volume despite lower close rate.”

Example prompts:

  • “Which leads haven’t been contacted in 48 hours?”
  • “Show me lead source performance — which channels bring the most closings?”
  • “How many new leads came in this week vs. last week?”
  • “Which agents have the fastest average response time?”

Connect: Follow Up Boss MCP · kvCORE MCP


Property Management

Buildium MCP

Buildium is the property management platform for residential property managers — handling tenant screening, lease management, rent collection, maintenance requests, and owner reporting for over 15,000 property management companies.

What your AI can do once connected:

  • Tenant data — lease details, payment history, lease end dates, and contact information
  • Rent collection — payments received, overdue accounts, and collection rates
  • Maintenance — open work orders, priority levels, vendor assignments, and resolution times
  • Financial reporting — P&L by property, portfolio-level NOI, and cash flow statements
  • Occupancy intelligence — vacancy rates, upcoming lease expirations, and turnover costs

Real-world workflow: A portfolio manager with 200 units asks: “Which tenants have overdue rent, what’s the total outstanding, and which leases expire in the next 90 days?” The AI queries Buildium: “7 tenants overdue, total: $12,400. Largest: Unit 4B at Maple Street ($3,200, 28 days overdue — third consecutive late payment). Leases expiring next 90 days: 12 units. 4 renewal offers sent, 2 confirmed, 6 pending, 0 non-renewals.”

Connect: Buildium MCP · Guesty MCP · Hostaway MCP


Market Intelligence

  • Mashvisor — Investment analytics, rental income estimates, occupancy rates, and market comparisons. Connect →
  • Repliers — Canadian MLS listing data. Connect →

The Multi-Tool Real Estate Workflow

QuestionToolWhat it pulls
”What’s available in my buyer’s criteria?”Idealista/Zillow MCPActive listings matching criteria
”What are the comps?”Zillow MCPRecent comparable sales
”Which leads should I prioritize?”Follow Up Boss MCPLead status and source ROI
”How are my rental properties performing?”Buildium MCPRent collection, occupancy
”What’s the investment potential?”Mashvisor MCPYield estimates, cap rates


How to Connect

Go to our App Catalog → Search → Subscribe → Copy URL → Paste into Claude, Cursor, or ChatGPT. Under 2 minutes.


Start Building

Browse all real estate MCP servers →

Your market data should be a question away, not a spreadsheet away. Your leads should never go uncontacted. Your properties should never have surprise vacancies. These connections make all of that possible.

Need a real estate tool not in our catalog? Email support@vinkius.com.


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Your agents need tools. We make them safe.

Pick an MCP server from the catalog. Subscribe. Copy the URL. Paste it into Claude, Cursor, or any client. One URL — DLP, audit trail, and kill switch included.

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