tokopedia-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": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_productsA | Search Tokopedia products by keyword. Returns a dict with a "products" list (name, price in IDR, rating, shop, URL) and the "count" of results returned. Each product can be passed to get_product_details for full information. Args: keyword: Search keyword, e.g. "logitech mouse" or "asus zenbook". max_result: Maximum number of results (1-100, default 20). pmin: Minimum price in IDR. pmax: Maximum price in IDR. condition: Product condition: 1 = new, 2 = used. shop_tier: Shop tier: 2 = Mall, 3 = Power Shop. rt: Minimum average rating, e.g. 4.5. latest_product: Only products listed within the last 7, 30, or 90 days. bebas_ongkir_extra: Only products with extra free-shipping benefit. is_discount: Only discounted products. is_fulfillment: Only products fulfilled by Tokopedia. is_plus: Only Tokopedia PLUS seller products. cod: Only products eligible for cash on delivery. |
| get_product_detailsA | Fetch full details for one Tokopedia product. Provides price, description, variants, stock, media, and shop info. Args: product_id: The numeric product id (from search_products). Takes precedence over url. url: A full tokopedia.com product URL, used when product_id is not provided. |
| get_product_reviewsA | Fetch customer reviews for a Tokopedia product. Returns a dict with a "reviews" list (messages, ratings, user info, seller responses, attached media) and the "count" of reviews returned. Args: product_id: The numeric product id (from search_products). max_count: Maximum number of reviews (1-100, default 20). |
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 concern: search_products finds products, get_product_details retrieves full product information, and get_product_reviews fetches customer feedback. There is no ambiguity or overlap between their purposes.
All tool names follow a consistent verb_noun pattern in snake_case: search_products, get_product_details, get_product_reviews. The naming is clean and predictable, making it easy for an agent to infer function from the name.
With exactly three tools, the server is well-scoped for its purpose of product discovery and research. Each tool earns its place in the set, and the count falls comfortably within the ideal range.
The toolkit covers the full product research lifecycle: search for products, get detailed information, and read reviews. The domain is focused on read-only product data, and there are no obvious dead ends or missing operations for that scope.