The Future of Hotel Distribution

Every AI Agent. Direct to Your Hotel.

MCP servers, CLI tools, REST APIs, and programmable settlement — the open protocols that let AI agents discover, book, and pay your property directly. No OTA. No 15–25% commission. You own the guest data.

See How It WorksRead the Manifesto
MCPCLIREST APIMarkdowniCalWebhooks
The Problem

The OTA Tax on Every Booking

For 25 years, OTAs have extracted 15–25% of every hotel booking. Now AI agents are the new distribution channel — and most properties are invisible to them.

15–25%

Commission extracted per booking by Booking.com & Expedia

$50B+

Annual OTA commissions extracted from hotels globally

Name Only

OTAs withhold guest email & phone — hotels must collect manually at check-in

Dark Patterns

OTA extranet UIs designed to make commission reconciliation, early departure adjustments, and bulk edits unnecessarily difficult for hotel staff

Deceptive design in OTA extranets

OTA operator portals employ dark patterns — deliberate UI/UX choices that make it harder for hotels to reduce commissions owed. Early departures, partial refunds issued weeks after checkout, and rate adjustments are buried in multi-step workflows designed to discourage corrections. Bulk editing multiple reservations is either unavailable or deliberately cumbersome. Monthly statements arrive in formats that resist easy reconciliation.

The result: night auditors and revenue managers — often the most junior staff handling these adjustments — give up on disputed line items because the time cost of correcting a $30 commission exceeds the recovery. Across thousands of properties, these small concessions compound into billions in overpaid commissions annually. The interface isn't broken. It's working exactly as designed.

The Old Way

Every booking passes through 5–7 intermediaries, each taking a cut

Traveler→GoogleTripAdvisorKayak

Metasearch (CPC fees)

→Booking.comExpediaAirbnb

OTAs (15-25% commission)

→Channel MgrGDS Switch

2-way XML/SOAP sync (SiteMinder, DHISCO) — SaaS fees

→CRSPMSRMS

Opera, Mews, Cloudbeds — per-room/mo licensing

→VCC PaymentsMerchant

Virtual credit cards, reconciliation — processing fees

→Hotel (keeps ~75%)
5-7 intermediaries3-5 separate systems2-way XML/SOAPRate parity clausesGuest data lost

The ADAPT Way

Direct connection. One platform. Under 8% commission.

Traveler/AI Agent

CLI, ChatGPT, Claude, Gemini, Perplexity, Browser

→MCPCLIRESTMarkdown

Open protocols — JSON, no XML, no switch

→Hotel (under 8% commission)
1 platformDirect connectionJSON/MCPProgrammable settlement100% guest data
How It Works

AI Agent Discovers. Books. Done.

1

Traveler asks an AI agent

"Find me a boutique hotel in Memphis for next weekend" — via Claude, ChatGPT, Gemini, Perplexity, or any AI assistant.

2

Agent discovers your property via MCP

Your ADAPT MCP server responds with real-time availability, rates, room types, and photos. The AI agent evaluates options for the traveler.

3

Guest books direct — you own the relationship

Booking created through your MCP server. Programmable settlement clears payment instantly — terms enforced by protocol, not by trust. Under 8% commission. You retain 100% of guest data.

claude — MCP hotel booking
> "Book me a room in Memphis, March 15-18"
I'll search ADAPT network properties via MCP.
search_availability({
city: "Memphis, TN",
check_in: "2026-03-15",
check_out: "2026-03-18",
max_rate: 200
})
Found: The Exchange — Downtown Memphis
King Suite · $189/night · Floor 12
Queen Double · $149/night · Floor 8
Studio · $109/night · Floor 4
Source: Direct via MCP · 0% OTA commission
✓ Book → exchange.building/book
The Protocol Stack

Four Ways AI Agents Find You

ADAPT publishes your property across every protocol AI agents use to discover and book inventory.

⚡

MCP Server

Model Context Protocol server exposing search_availability(), getRates(), and createBooking() tools. Any MCP-compatible AI agent can discover and transact directly.

server.tool("search_availability", { city, dates })
▸

CLI Tools

Terminal-first hotel search and booking. Install the building-os CLI to search, check rates, and book rooms from any command line or agent framework.

building-os search --city memphis --dates 03/15-18
{ }

REST API

Standard JSON/OAuth 2.0 endpoints. Auto-generated SDKs via OpenAPI spec. Works with any language, any platform, any automation pipeline.

GET /api/v1/availability?city=memphis&checkin=...
📄

Agentic Markdown

Zero-infrastructure discoverability. Publish a .well-known/hotel.md file with structured availability — like robots.txt but for hotel inventory.

/.well-known/hotel.md → llms.txt for hotels
Deep Dive Research

Hotel Distribution History Since the GDS Era

From SABRE's first mainframe in 1960 to Priceline's $133M acquisition that became a $170B company — to MCP servers making OTAs optional. The complete interactive history with 60+ events, system architecture diagrams, and M&A ownership maps.

Read the Full Deep Dive
1960SABRE CRS goes live
1996Expedia & Travelocity launch
2005Priceline acquires Booking.com
2015GDSs exit OTA business
2024MCP announced by Anthropic
2026Google UCP + AI Mode
Live Pilot — 200+ Units in Memphis

Not Vaporware. Running in Production.

ADAPT is the open alliance building the protocols that connect properties directly to AI agents. MCP servers, CLI tools, REST APIs — all publishing your inventory to the agentic web. Founded by an owner-operator who needed it.

200+
Units
19
Floors
<8%
Commission
100%
Data Owned
Read the Manifesto