RA

Reservation Agent

Book · Stay · Discover

Reservation data platform

Hotel & property data, ready for your next reservation experience

Reservation Agent is the web front for an automation and API layer built on top of a rich accommodation directory. It brings together structured property records—names, locations, rates, ratings, and descriptions—and makes them available to trusted applications and AI workflows.

Directory scale

Large catalogue

Hundreds of thousands of listings

Use case

AI ready

Structured grounding for search and recommendations

Access model

Authorised

Authenticated MCP access only

Platform snapshot

Book · Stay · Discover

Live Data

Property records

Hotels, lodges, guest houses, B&Bs and more

Commercial context

Rates, quality signals, location structure

Integration model

MCP over Streamable HTTP with token auth

Trusted applications only

There is no public anonymous API to the live dataset. Access is reserved for authorised clients and controlled AI tooling.

What this site does

A web front for grounded accommodation data

Serves the catalogue

Behind the scenes, Reservation Agent connects to a large property database so partners and systems can query real accommodation data instead of relying on static copy. This makes the platform suitable for reservation workflows, intelligent search, and booking-adjacent products that need structured supply.

Supports reservations context

Listings are organised using geographic and commercial signals including countries, provinces, cities, pricing hints, and quality indicators. That structure helps recommendation layers and search tools answer questions like “where should I stay?” with grounded, usable facts.

Capabilities

Built for property-aware search, recommendation, and reservation workflows

01

Structured listings

Names, descriptions, pricing signals, location structure, and rating information aligned for downstream use.

02

Grounded recommendations

Geographic and commercial metadata help tools produce useful stay suggestions with real context.

03

Automation ready

Designed to support workflows that need clean accommodation data for enrichment, routing, and reservation handling.

04

Controlled access

Token-authenticated clients interact with the system through MCP rather than open anonymous access.

For integrators & AI tooling

Authorised access over MCP

Trusted clients can connect using the Model Context Protocol over Streamable HTTP. Requests use JSON-RPC with optional SSE support and must be authenticated on every request.

Connection details

MCP Endpoints

Auth required

Base URL

https://reservationagent.co.za/mcp

Authentication

Authorization: Bearer <token>

Health Check

https://reservationagent.co.za/mcp-health

Protocol notes

Streamable HTTP transport is supported, with JSON-RPC and optional SSE where applicable. This front end does not expose a public anonymous API to the live property dataset.

Hotels, lodges & more

Unified accommodation data across property types

The underlying data model covers traditional hotels, boutique stays, guest houses, B&Bs, safari lodges, and similar bookable properties—unified so search and booking-adjacent products do not need to maintain separate silos per brand or channel.

Hotels

Traditional hotel inventory with rich metadata for search and recommendation layers.

Guest Houses

Smaller hospitality properties structured for consistent discovery and integration.

Boutique Stays

Independent and lifestyle-led accommodation categories handled in the same model.

B&Bs

Bed and breakfast properties included without needing separate downstream logic.

Safari Lodges

Lodges and special-stay formats available as part of a unified accommodation layer.

Reservation Agent

Grounded accommodation data for search, booking context, and AI workflows

Use trusted property records, structured geography, and reservation-ready context through a controlled integration layer designed for modern hospitality products and intelligent systems.