decathlon-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_suggestionsC | Get search suggestions for a query on Decathlon NL. |
| search_productsB | Search for products on Decathlon NL. Returns products with id, model_id, sku_id, title, brand, url, image, current price (and original price when discounted), online availability, sizes, rating and review count. Use sku_id with get_product_details and model_id with get_reviews. |
| get_product_detailsA | Get full product details for one or more Decathlon NL SKUs. Use the sku_id values returned by search_products. Returns description, brand, colors, size, weight, price, seller info, fulfillment options (store pickup / delivery / shipping), store availability and ratings. |
| get_reviewsA | Get customer reviews for a Decathlon NL product. Use the model_id returned by search_products or get_product_details. Includes aggregate stats (average rating, satisfaction, rating distribution) plus paginated individual reviews with sub-ratings per attribute (e.g., ease of use, quality/price). |
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 4 tools
Each tool targets a distinct purpose: search suggestions for autocomplete, search products for results, product details for specific SKU info, and reviews for customer feedback. There is no functional overlap, making tool selection unambiguous.
All tool names follow a consistent verb_noun pattern (search_suggestions, search_products, get_product_details, get_reviews). The naming convention is predictable and easy to navigate.
Four tools is well-scoped for a product lookup server. Each tool fills a necessary role in the search-to-detail-to-reviews workflow without redundancy or missing core functionality.
The tool set covers the full product exploration lifecycle: suggestions, search, details, and reviews. There are no obvious dead ends—the tools clearly reference each other (sku_id and model_id) and provide a complete user journey for product discovery.