20M+ properties
190+ countries
15+ years of history
> Compare RevPAR in Austin vs Nashville Called market_revpar("Austin", "Nashville") Austin: $142 avg RevPAR +6.2% YoY Nashville: $128 avg RevPAR +11.4% YoY
Ask your AI a question in plain English. The MCP server automatically selects the right tools, fetches the data, and delivers structured analysis.
> Compare RevPAR trends for 2BR listings in Austin vs Nashville over the last 24 months.
RevPAR Comparison — 2BR, 24 Months
Austin, TX Nashville, TN
Avg RevPAR (24mo): $142 $128
Peak Month: Mar 2025 — $198 Oct 2025 — $176
Low Month: Aug 2024 — $94 Jan 2025 — $82
YoY Growth: +6.2% +11.4%
P75 RevPAR: $178 $159Nashville shows stronger year-over-year RevPAR growth at +11.4% vs Austin's +6.2%, suggesting an accelerating market. However, Austin maintains a higher absolute RevPAR ($142 vs $128 average) and a higher P75, indicating more upside for well-positioned listings. Austin peaks around SXSW in March, while Nashville peaks in October during fall tourism season.
Institutional and individual investors face a common challenge: screening dozens of markets, underwriting potential acquisitions, and monitoring portfolio performance requires pulling data from multiple sources, building custom spreadsheets, and spending hours on manual research. Every day spent on data collection is a day not spent on deal-making.
With AirROI's MCP server, investors connect their AI to 20M+ listings and ask questions directly. "Compare RevPAR trends for 2BR listings in Austin vs Nashville over the last 24 months" returns a structured comparison in seconds. "Estimate annual revenue for a 4BR property at 123 Ocean Drive" generates a full projection with monthly breakdowns, occupancy forecasts, and comparable properties — all without writing a single line of code.
The business outcome is faster, more confident decision-making. Fund managers report cutting market screening time from days to hours, while individual investors can evaluate dozens of properties in a single AI session. Whether you are building acquisition models, generating LP reports, or monitoring portfolio KPIs, the MCP server turns your AI into a dedicated STR research analyst.
“We used to spend two full days pulling market data and building comps for each acquisition target. With AirROI’s MCP server, our analysts ask Claude to run the analysis and get structured results in minutes. It changed how fast we can move on deals.”
— Wei L., STR Fund Manager, Singapore
“Which markets in Florida have the highest RevPAR for 3BR listings?”
“Show me occupancy trends for the Smoky Mountains over the last 3 years”
“Estimate revenue for a 2BR condo near Disneyland with a pool”
Property managers juggle competitive pricing, owner reporting, and market positioning across multiple listings. Staying competitive means constantly monitoring what nearby properties charge, when bookings pick up, and how your portfolio stacks up against the local market — tasks that traditionally require expensive analytics subscriptions or hours of manual research.
The MCP server transforms this workflow into a conversation. Ask "What are comparable listings charging near my property at 456 Beach Road this weekend?" and get an instant competitive rate analysis. Ask "Show me the booking lead time trend for my market" and discover whether guests are booking further out this year, signaling the right time to adjust your pricing strategy.
The result is smarter pricing decisions and better owner reports. Property managers can generate automated daily market briefings through Claude Code, run ad-hoc competitive analysis in Claude Desktop, and produce data-rich owner reports that demonstrate market awareness. Over 60% of STR operators now incorporate AI into daily workflows, according to industry surveys — the MCP server makes that adoption seamless.
“My morning routine used to start with checking three competitor dashboards and updating a pricing spreadsheet. Now I ask Claude ‘what are comps charging this weekend?’ and get a rate analysis before I finish my coffee. My owners love the data-rich monthly reports I can produce in minutes.”
— Sarah M., Property Manager, Scottsdale AZ
“What are comparable listings charging near my property at [address] this weekend?”
“Show me the booking lead time trend for my market over the last year”
“Get future rates for the top 10 listings within 2 miles of my property”
Developers evaluating new construction or conversion projects need to validate whether short-term rentals are viable at a given location before committing capital. Key questions — how saturated is the market, what revenue can each unit type generate, and what are the seasonal demand patterns — are difficult to answer without specialized STR data.
The MCP server provides instant access to supply trends, revenue potential, and seasonal demand for any location. Ask "Show me active listing growth in Scottsdale over the last 5 years" to understand market saturation. Ask "Estimate revenue for a studio at these coordinates" to validate unit mix decisions. Query seasonal occupancy patterns to inform amenity planning and marketing strategies.
Developers use these insights to build stronger pro formas, present data-backed feasibility studies to lenders, and make confident decisions about unit mix, amenity investment, and target markets. The difference between a successful STR development and an underperforming one often comes down to the quality of pre-construction market analysis.
“We were evaluating a 24-unit conversion in Scottsdale and needed to validate the STR revenue model. In one Claude session, we pulled 5 years of supply trends, estimated revenue by unit type, and identified the seasonal demand gaps we’d need to plan around. That analysis would have taken our team a week.”
— Marcus T., Development Director, Phoenix AZ
“How many active listings are within 1 mile of [coordinates] and what's their average revenue?”
“Show me active listing growth in [city] over the last 5 years”
“What's the seasonal occupancy pattern for studio listings in [neighborhood]?”
Analysts and consulting firms producing market studies, investment memos, and client presentations need reliable, granular STR data — but accessing it typically means expensive platform subscriptions, manual data exports, and time-consuming reformatting. Client deadlines do not wait for slow data pipelines.
With the MCP server connected to Cursor or Claude Code, analysts can build automated report pipelines that pull fresh data on demand. "Pull monthly ADR, occupancy, and RevPAR for Austin from Jan 2023 to Dec 2025" returns a clean time series ready for charting. "Compare active listing counts across the top 5 vacation rental markets in California" generates a multi-market comparison in seconds.
The outcome is faster deliverables and richer analysis. Consultants can offer clients more comprehensive market intelligence without proportionally increasing research time, while in-house analysts can respond to ad-hoc data requests from executives immediately rather than queuing them for the next sprint.
“I build market studies for institutional clients. The MCP server cut my data collection time by 80%. I used to spend days exporting, cleaning, and formatting STR data. Now I tell Claude what metrics I need, and it returns publication-ready time series in seconds.”
— Priya S., Senior STR Analyst, Mumbai
“Pull monthly ADR, occupancy, and RevPAR for [market] from Jan 2023 to Dec 2025”
“Compare active listing counts across top 5 vacation rental markets in California”
“Generate a market summary for [city] including supply, demand, and pricing metrics”
Developers building STR tools, dashboards, and platforms need to prototype features with real data, test API integrations, and validate product ideas before committing to full implementation. The gap between "this feature sounds good" and "this feature works with real data" often determines whether a product ships on time.
The MCP server accelerates development by letting developers query live STR data through their IDE's AI. Connect to Cursor and ask "What fields does the get_listing tool return? Show me a sample response" to understand data schemas instantly. Ask "Write a Python function that calls the AirROI REST API for market occupancy" and get working code generated from real API knowledge.
This turns the MCP server into a development accelerator: prototype with live data, generate integration code, and validate product assumptions — all within the same AI-powered development environment. When you are ready for production, the same data is available through AirROI's REST API for direct integration.
“We were prototyping a pricing recommendation engine and needed to test against real market data. Connecting the MCP server to Cursor let us iterate on the algorithm with live comparables and market metrics — no test data, no mocks. We shipped the MVP two weeks ahead of schedule.”
— Kenji M., CTO, Tokyo
“What fields does the get_listing tool return? Show me a sample response.”
“Search for listings in [market] and format the results as a comparison table”
“Write a Python function that calls the AirROI REST API to get market occupancy data”
Everything you need to get started with AI-powered STR intelligence.
Same pay-as-you-go pricing as the REST API. No subscriptions, no contracts, no monthly minimums. Buy API credits starting at $10, and each MCP tool call consumes the same credits as the equivalent REST API call. See the pricing page for detailed per-call costs.
Yes. Connect to Claude Code or Cursor to build automated pipelines: daily market reports, pricing alerts, portfolio monitoring, competitive analysis — all powered by natural language instructions. The MCP server handles all data fetching and returns structured results your AI can process and format.
21 purpose-built tools covering listings, markets, and revenue estimation. Listing tools include get_listing, batch_listings, find_comparables, listing_metrics, listing_future_rates, search_by_market, search_by_radius, search_by_polygon, and export_market for full market dumps. Market tools cover occupancy, ADR, RevPAR, revenue, booking lead time, length of stay, active listings, and future pacing. Plus market search/lookup and ML-powered revenue estimation — all accessible through natural language.
Data is refreshed frequently to reflect the latest available market conditions. Market metrics provide up to 60 months of historical data with percentile breakdowns. Future rates extend 365 days forward from today. Forward pacing data shows current booking status for upcoming dates, giving you the most up-to-date demand signals available.
Yes. API keys are not session-limited — multiple team members can connect their own AI clients (Claude Desktop, Claude Code, Cursor) using the same key simultaneously. Each tool call consumes credits from the shared account balance regardless of which team member initiates the request.
No. If you can install Claude Desktop or Claude Code, you can use the MCP server. The one-command setup takes 30 seconds, and then you query data in plain English. No coding, no API integration, no data processing required. The AI handles tool selection, data retrieval, and formatting automatically.
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