smart-retail-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DATABASE_URL | Yes | PostgreSQL connection string |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_current_stockA | Obtiene los niveles actuales de inventario de todos los productos y los tiempos de entrega del proveedor. |
| get_sales_velocityA | Calcula el promedio de ventas diarias de los productos en los últimos X días. Útil para predecir cuándo se agotará el stock. |
| create_ai_recommendationA | Crea una alerta de reabastecimiento en la base de datos cuando detectas que el stock se agotará antes de que el proveedor pueda entregar. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool targets a distinct inventory concern: current stock and lead times, sales velocity, and creating restock alerts. There is no meaningful overlap, so an agent can select the correct tool without ambiguity.
All tool names follow a consistent verb_noun pattern: get_current_stock, get_sales_velocity, create_ai_recommendation. The naming is predictable and clear.
Three tools is at the low end, but each tool has a clear role in the inventory-alerting workflow. The count feels appropriate for a narrow purpose, though the broad server name could imply more coverage.
The set covers the input side well, but create_ai_recommendation is a create-only operation with no way to list, update, or delete existing recommendations. This leaves agents with a dead end for managing alert state.