Universal Shopping Agent MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | Yes | Your Google Gemini API key |
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": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| shop_toysA | Open a browser and search Amazon for age-appropriate toys based on the query. Example queries:
country: IN | US | UK | DE (defaults to IN) |
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 1 tool
With only one tool, there is no ambiguity; the tool's purpose is clearly defined and distinct by default.
The single tool follows a clear verb_noun pattern ('shop_toys'), and consistency is perfect with no other tools to conflict.
The server claims to be a 'Universal Shopping Agent' but only offers one tool for toys, which is far too few for the implied scope, making it feel underwhelming and incomplete.
The tool only handles toy searches on Amazon; there are no tools for other product categories, cart management, or order processing, leaving major gaps in the shopping domain.