Setup Guide
30-second setup
No coding required
Works with 5+ AI clients
$ claude mcp add --transport http airroi \ https://mcp.airroi.com \ --header "X-API-KEY:your-airroi-api-key" # That's it. 21 tools. 20M+ properties. # Start asking questions in plain English.
Setup Time
Tools Available
Properties
Starting Credits
Sign up at AirROI, grab your sk_live_ key from the Developer Dashboard. $10 minimum, pay-as-you-go.
Install Claude Code, Codex, Gemini CLI, Cursor, VS Code, or any MCP-compatible client.
Select your AI client below. Each tab walks through the complete setup process, from opening settings to verifying the connection.
Claude Code is Anthropic's terminal-based AI coding agent. It supports MCP natively with a single CLI command -- no config files, no manual editing. This is the fastest path to connecting AirROI.
Launch your terminal application (Terminal on macOS, iTerm, Windows Terminal, or any shell). Claude Code must already be installed -- if not, run npm install -g @anthropic-ai/claude-code first.
This single command registers AirROI as an MCP server with HTTP transport and authenticates using your API key:
claude mcp add --transport http airroi https://mcp.airroi.com \ --header "X-API-KEY:your-airroi-api-key"
Start a new Claude Code session and type /mcp to check the server status, or ask: “What MCP tools do you have from AirROI?” You can also verify with claude mcp list.
Replace your-airroi-api-key with your actual API key from the Developer Dashboard.
Once connected, just ask your AI in plain English. The MCP server automatically selects the right tool and returns structured data.
What's the average occupancy in Miami Beach for 2BR listings?
Compare ADR trends in Austin vs Nashville over the last 12 months
Find top 10 highest-revenue listings within 5 miles of downtown Denver
Estimate annual revenue for a 3BR property near Disneyland
How many active listings are in the Smoky Mountains?
What's the average lead time for bookings in Maui?
Get metrics for listing ID 12345678 including occupancy and revenue trends
What are future rates for comparable listings near my property?
Here is what a real interaction looks like after setup. You ask a question in natural language, your AI calls the appropriate tool, and returns structured market intelligence instantly.
> What's the average occupancy rate in Miami Beach for 2BR listings?
Miami Beach, FL — 2BR Performance Average Occupancy: 72.4% Average Daily Rate: $289 RevPAR: $209 Active 2BR Listings: 3,847 Seasonality: Peak (Dec-Mar): 89.1% occ · $342 ADR Shoulder (Apr-Jul): 68.5% occ · $278 ADR Low (Aug-Oct): 58.2% occ · $231 ADR
The market shows strong seasonal patterns with peak demand during winter months. At 72.4% average occupancy and $289 ADR, 2-bedroom listings in Miami Beach generate approximately $76,000 in annual revenue at the median. The summer shoulder season still holds above 68%, making this a relatively year-round market.
This is a representative example. Actual values depend on the current dataset and your query parameters.
One command: claude mcp add --transport http airroi https://mcp.airroi.com --header "X-API-KEY:your-airroi-api-key". Replace the key with your actual API key from the Developer Dashboard. Claude can immediately query 20M+ Airbnb listings, market analytics, and revenue estimates through natural language.
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.
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. You only pay for the queries your AI actually makes.
Yes. Both the MCP server and the REST API use the same API key, the same credit balance, and return the same data. Use the MCP server for natural-language queries through Claude or Cursor, and the REST API for programmatic integrations in your own applications. They complement each other and share your pay-as-you-go credits.
When credits are exhausted, tool calls return a clear error message indicating insufficient credits -- no data loss, no silent failures. Your AI assistant will relay the message and suggest purchasing additional credits from the Developer Dashboard. You can top up instantly and resume querying without reconfiguring anything.
Any client that supports the Model Context Protocol (MCP) with HTTP transport. This includes Claude Code, OpenAI Codex, Google Gemini CLI, Cursor, VS Code with Copilot, Claude Desktop, Windsurf, and any MCP-compatible application. MCP is an open standard created by Anthropic and adopted by Google, OpenAI, and Microsoft, so compatibility is expanding rapidly.
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