storefront-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PORT | No | Port for the HTTP server (used in HTTP mode). | 3000 |
| PUBLIC_BASE_URL | No | Public base URL for the HTTP server (used in HTTP mode). If not set, defaults to http://localhost:${PORT}. | |
| STOREFRONT_MCP_PAY_PORT | No | Port for the mock-pay HTTP server (used in stdio mode only). | 4405 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_listingsA | Busca alojamientos en el catálogo de alquiler temporario en CDMX (Vidriera) por colonia, cantidad de huéspedes, precio máximo por noche, tipo de habitación o texto libre. Devuelve hasta 3 opciones como tarjetas visuales interactivas para que el usuario elija, navegue el detalle y arranque una reserva. Usala cuando el usuario pida alojamiento, quiera comparar opciones o pregunte qué hay disponible en una zona de la ciudad. |
| get_listing_detailA | Devuelve la ficha completa de una propiedad del catálogo (descripción, amenities, anfitrión) dado su ID numérico. Usala para responder preguntas puntuales sobre una propiedad que ya apareció en una búsqueda previa. |
| start_mock_bookingB | Genera un resumen de reserva mock (fechas de ejemplo, total) y el link de pago simulado. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| Catálogo Vidriera (tarjetas) | Tarjetas de propiedades con navegación a detalle y reserva simulada. |
TDQS
Scored across 3 tools
Each tool has a distinct function: search for listings, get detail of a specific listing, and start a booking. No overlap in purpose.
All tools follow a consistent verb_noun pattern with snake_case: search_listings, get_listing_detail, start_mock_booking.
Three tools is minimal but covers the core workflow of searching, viewing details, and booking. Slightly under for a full-featured storefront, but acceptable.
Covers search, detail, and booking, but lacks common operations like canceling or modifying bookings, or managing user profiles. Notable gaps exist.