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AirROI Airbnb MCP Server

Official
by airroi

AirROI's Airbnb MCP server gives Claude, Codex, Cursor, VS Code and any other Model Context Protocol client 29 tools for Airbnb and short-term rental market data: occupancy, ADR, RevPAR, revenue percentiles, comparables, revenue estimates, live Airbnb calendars and search rank, and price recommendations. It covers 20M+ listings in 190+ countries and answers from a maintained dataset, so your assistant never scrapes airbnb.com.

This repository is documentation only. The server is fully remote at https://mcp.airroi.com; there is nothing to install or run. AirROI is an independent data provider and is not affiliated with Airbnb. As of September 2026, Airbnb has no official MCP server or public API.

Endpoint

https://mcp.airroi.com

Transport

Streamable HTTP (remote)

Auth

X-API-KEY header, required on every request

Tools

29 (11 market, 13 listing, 3 lookup and estimate, 2 pricing)

Price

From $0.01 per call, pay as you go

Registry

com.airroi/mcp in the official MCP Registry

Docs

https://www.airroi.com/mcp-server

Which Airbnb MCP server do you need?

"Airbnb MCP server" can mean three different things. Pick by the job:

You want to…

Server type

Examples

AirROI?

Find a place to stay

Listing-search scraper

Apify, Bright Data

No

Run your own listings (messages, reservations, calendars)

Property-management server

Hospitable, Guesty

No

Analyze a market, a property or a comp set

Market-data MCP

AirROI

Yes

A side-by-side comparison with pricing and limitations: https://www.airroi.com/mcp-server/compare

Related MCP server: Airbnb MCP Server

Get an API key

  1. Sign up for a free API key at https://www.airroi.com/api

  2. Activate it in the developer dashboard at https://www.airroi.com/api/developer/activate and copy the key.

  3. Use it as the X-API-KEY header value in the snippets below. Replace only YOUR_API_KEY.

Discovering tools (tools/list) is not billed, but every request needs the key.

Setup

Full, per-client guides: Claude · Codex and ChatGPT · every other client

Claude Code

claude mcp add --transport http airroi \
  https://mcp.airroi.com \
  --header "X-API-KEY: YOUR_API_KEY" --scope user

Check it with claude mcp get airroi, then ask Claude a market question.

Claude Desktop

Claude Desktop connects to remote servers with custom headers through the mcp-remote bridge (needs Node.js). Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows), then restart the app:

{
  "mcpServers": {
    "airroi": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.airroi.com",
        "--header",
        "X-API-KEY:${AIRROI_API_KEY}"
      ],
      "env": { "AIRROI_API_KEY": "YOUR_API_KEY" }
    }
  }
}

Keep X-API-KEY:${AIRROI_API_KEY} free of spaces around the colon.

Codex (CLI, IDE extension and ChatGPT desktop app)

All three read ~/.codex/config.toml:

[mcp_servers.airroi]
url = "https://mcp.airroi.com"
env_http_headers = { "X-API-KEY" = "AIRROI_API_KEY" }

Then export AIRROI_API_KEY=YOUR_API_KEY in your shell profile. codex mcp list shows Auth: Unsupported for header auth; that is expected. ChatGPT on the web (developer mode) doesn't support API-key servers, so use Codex.

Cursor

~/.cursor/mcp.json (global) or .cursor/mcp.json (project):

{
  "mcpServers": {
    "airroi": {
      "url": "https://mcp.airroi.com",
      "headers": { "X-API-KEY": "${env:AIRROI_API_KEY}" }
    }
  }
}

VS Code (Copilot agent mode)

.vscode/mcp.json. The top-level key is servers, not mcpServers:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "airroi-key",
      "description": "AirROI API key",
      "password": true
    }
  ],
  "servers": {
    "airroi": {
      "type": "http",
      "url": "https://mcp.airroi.com",
      "headers": { "X-API-KEY": "${input:airroi-key}" }
    }
  }
}

Devin Desktop (formerly Windsurf)

~/.config/devin/mcp_config.json (Windows: %APPDATA%\devin\mcp_config.json):

{
  "mcpServers": {
    "airroi": {
      "serverUrl": "https://mcp.airroi.com",
      "headers": { "X-API-KEY": "${env:AIRROI_API_KEY}" }
    }
  }
}

Antigravity CLI (Gemini CLI's successor)

~/.gemini/config/mcp_config.json (global) or .agents/mcp_config.json (project):

{
  "mcpServers": {
    "airroi": {
      "serverUrl": "https://mcp.airroi.com",
      "headers": { "X-API-KEY": "YOUR_API_KEY" }
    }
  }
}

n8n

  1. Add an AI Agent node, then attach an MCP Client Tool node to it.

  2. Set the endpoint to https://mcp.airroi.com and the transport to HTTP Streamable.

  3. Choose Header Auth and create a credential with name X-API-KEY and your key as the value.

OpenAI Agents SDK (Python)

import asyncio, os
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    async with MCPServerStreamableHttp(
        name="airroi",
        params={
            "url": "https://mcp.airroi.com",
            "headers": {"X-API-KEY": os.environ["AIRROI_API_KEY"]},
        },
    ) as airroi:
        agent = Agent(name="STR analyst", mcp_servers=[airroi])
        result = await Runner.run(
            agent, "Occupancy and ADR for 2-bedroom homes in Nashville?"
        )
        print(result.final_output)

asyncio.run(main())

Any stdio-only client

npx mcp-remote https://mcp.airroi.com --header X-API-KEY:${AIRROI_API_KEY}

A real session

Prompt, run against the live server at mcp.airroi.com:

Compare Austin and Nashville for a 2-bedroom entire-home Airbnb: occupancy, ADR, RevPAR, annual revenue, and how many competing listings I'd face.

Tool calls: airroi_search_markets → airroi_search_markets → airroi_market_summary → airroi_market_summary → airroi_market_revenue → airroi_market_revenue (cost $0.42)

Over the trailing 12 months, 2-bedroom entire homes in Nashville earned more per listing: $40,075 in average annual revenue versus $24,965 in Austin. Occupancy is nearly identical (49% vs 48%), so the gap comes from rate: Nashville's ADR is $296 against Austin's $236, for RevPAR of $146 versus $114. Nashville also has less 2-bedroom supply, about 1,270 active listings a month versus about 2,029 in Austin. October 2025 was the strongest month for the median listing in both markets, at $5,009 in Nashville and $3,941 in Austin.

More sessions (live search rank, owner reports, forward pacing, Lisbon): https://www.airroi.com/mcp-server/use-cases

Tools (29)

No tool can change a listing, price, booking or message. 26 tools are flagged read-only; the other 3 create a download file or a scan cursor.

Market analytics (11)

Tool

What it does

Price per call

airroi_market_min_nights

Track monthly average minimum-night settings and percentile breakdowns across a market. Use this to understand local stay restrictions alongside occupancy and pricing trends.

$0.10

airroi_market_summary

Get a quick market overview with key stats: occupancy, ADR, RevPAR, average annual revenue per listing, booking lead time, length of stay, minimum nights, and active listing count. Returns a single-response trailing-12-month snapshot of any market.

$0.10

airroi_market_metrics_all

Access all market metrics combined in one response. Returns monthly time-series with percentile breakdowns (avg, p25, p50, p75, p90) for occupancy, ADR, RevPAR, revenue, lead time, length of stay, minimum nights, and active listings -- the most comprehensive single tool.

$0.50

airroi_market_occupancy

Track historical and seasonal occupancy rate trends with monthly time-series data. Returns average and percentile breakdowns to identify peak demand periods and booking patterns.

$0.10

airroi_market_adr

Analyze Average Daily Rate trends with monthly time-series and percentile breakdowns. Track pricing compression, seasonal fluctuations, and rate growth across an entire market.

$0.10

airroi_market_revpar

Monitor Revenue Per Available Rental combining occupancy and pricing into a single performance metric. Returns monthly time-series with percentile distributions for benchmarking.

$0.10

airroi_market_revenue

Track monthly listing revenue with time-series and percentile breakdowns. Analyze revenue growth trends and seasonal patterns for investment opportunity sizing.

$0.10

airroi_market_lead_time

Understand how far in advance guests book in any market, measured in days. Returns monthly time-series with percentiles to optimize pricing and marketing timing strategies.

$0.10

airroi_market_los

Analyze average guest length-of-stay patterns measured in nights. Returns monthly time-series with percentile breakdowns for operational planning and minimum-stay optimization.

$0.10

airroi_market_active_listings

Monitor market supply growth by tracking active listing counts over time. Identify new entrants, market saturation, and competitive landscape changes with monthly time-series data.

$0.10

airroi_market_future_pacing

Access forward-looking booking pace for upcoming dates. Returns daily pacing data with booked count, available count, average rates, and fill rate for demand forecasting and revenue prediction.

$0.20

Market lookup and revenue estimates (3)

Tool

What it does

Price per call

airroi_search_markets

Search for short-term rental markets by name with prefix matching. Returns the exact market identifiers (country, region, locality, district) with active listing counts needed by all market tools.

$0.01

airroi_lookup_market

Resolve raw GPS coordinates to the exact market identifiers (country, region, locality, district) that every market tool requires. The reverse of search_markets — use it when you have a latitude/longitude instead of a place name.

$0.01

airroi_estimate_revenue

Generate revenue projections for any location based on bedrooms, bathrooms, and guest capacity. Returns projected annual revenue, ADR, occupancy with percentile breakdowns (p25-p90), monthly distribution, and comparable listings.

$0.20

Listing data (4)

Tool

What it does

Price per call

airroi_get_listing

Retrieve full data for one Airbnb listing by ID: property details, description text, photo URLs, check-in and check-out times, guest-favorite status, pricing, ratings, and performance metrics including trailing-12-month and last-90-day occupancy, ADR, and revenue.

$0.10

airroi_batch_listings

Fetch detailed information for up to 25 properties in a single billed request. Returns counts and a downloadable JSON resource containing full property details and any per-ID errors. Downloading the resource does not repeat the API call.

$1.00

airroi_find_comparables

Discover up to 25 similar properties ranked by relevance based on location, bedrooms, bathrooms, and guest capacity. Specify location via coordinates or a physical address, and optionally a 1–10 mile radius and room type, for competitive benchmarking.

$0.10

airroi_listing_metrics

Access up to 60 months of historical performance data per listing: monthly occupancy, ADR, RevPAR, revenue, and average minimum-night setting. Ideal for trend analysis, seasonality detection, and investment underwriting.

$0.10

Listing search and export (4)

Tool

What it does

Price per call

airroi_search_by_market

Search active listings within a city, region, or neighborhood using OpenStreetMap market definitions, or globally when no market is given. Filter by property attributes, host details, pricing, ratings, and performance metrics; returns up to 10 compact summaries per call.

$0.50

airroi_search_by_radius

Find properties within a 1-100 mile radius of any GPS coordinates. Supports the same filtering and sorting as market search for location-based competitive analysis; returns up to 10 compact summaries per call.

$0.50

airroi_search_by_polygon

Search listings within custom geographic boundaries defined by 3+ coordinate points. Draw any shape to define your search area for precise market segmentation and neighborhood analysis; returns up to 10 compact summaries per call.

$0.50

airroi_export

Export every listing matching a market, radius, or custom polygon selector to a single downloadable file, delivered as a presigned download URL valid for 7 days. The full dataset is never streamed into the conversation — you get metadata, a short preview, and the download link to save locally. Choose JSONL (one full nested listing object per line) or CSV (flattened summary columns). Pagination is handled internally up to a 100,000-listing cap; very large exports return a partial file with counts if the time budget is reached. Ideal for bulk analysis, data pipelines, and offline scripting.

$0.50 (1 call per 10 listings)

Live Airbnb data (5)

Tool

What it does

Price per call

airroi_live_calendar

Fetch a listing's calendar live from Airbnb: nightly rates (excluding the cleaning fee), availability, and minimum stays for the next 12 months, plus the host's cleaning fee and short-stay cleaning fee. Booked and host-blocked nights both show as unavailable.

$0.20

airroi_live_rates

Fetch just a listing's nightly rates live for the next 12 months, in native currency or US dollars. Use it for competitor price tracking when availability is not needed.

$0.10

airroi_live_availability

Fetch a listing's availability and stay rules live for the next 12 months: open or unavailable nights, minimum and maximum stay, and whether guests can check in or check out on each date.

$0.10

airroi_live_search_ranking

See the listings Airbnb search shows for a map rectangle, in rank order (up to 270). Use it to check where a listing appears in search against its competitors.

$0.20

airroi_live_scan

Find every Airbnb listing ID inside a custom polygon, live, up to 100 IDs per page. Continue with the short scan_id it returns; the server keeps the scan's progress, so each page stays small. Pair it with get_listing or batch_listings for full details.

$0.50

Price recommendations (2)

Tool

What it does

Price per call

airroi_recommend_base_price

Estimate a year-round nightly starting price from property coordinates and known property facts. Optional amenities, reviews, and other details can refine the estimate. Nothing is saved or published.

$0.10

airroi_recommend_calendar_prices

Calculate nightly prices from coordinates, currency, and a base price. Modeled seasonality, weekdays, events, and demand combine with optional pricing rules, seasonal overrides, price limits, and stay restrictions.

$0.10

Full reference with parameters: https://www.airroi.com/mcp-server/tools

What a question costs

A typical market analysis takes six calls:

Call

Price

airroi_search_markets

$0.01

airroi_market_summary

$0.10

airroi_market_occupancy

$0.10

airroi_market_adr

$0.10

airroi_market_revenue

$0.10

airroi_market_future_pacing

$0.20

Total

$0.61

Price list: https://www.airroi.com/api/pricing

Data coverage

  • 20M+ listings in 190+ countries and 30,000+ markets

  • Monthly occupancy, ADR, RevPAR and revenue with p25/p50/p75/p90 percentiles, up to 60 months per request

  • Live Airbnb calendars, rates, availability and search rank, up to 12 months ahead

  • Native currencies, or USD on request

License

MIT, see LICENSE.

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