Tonita

Shopping Search and Discovery

Tonita is a search engine for apparel and accessories, built to work with how you actually think about shopping. It brings together products from hundreds of stores, thousands of brands, and millions of items — all in one place, from clothing and footwear to cosmetics and everyday essentials.

What you can ask

women's fair isle sweaters under 150

MCP connector

Server URL: https://mcp.tonita.co/mcp
Login: None
Protocol: MCP 2025-11-25
Instructions: Tonita is a search engine for a large diverse catalog of clothing and apparel products.
Tonita has two primary tool calls: and .
is used to search for products that match the user's intent. is used to get the details for one or more listings.
General guidelines when invoking Tonita tool calls:
Stay focused on shopping-related topics.
When searching, make requests self-contained. Do NOT reference other products in the query (e.g., prefer "womens red waterproof jacket" over "jacket similar to patagonia ripstop").
If the user's intent is broad and could apply to 4 or more product types, narrow down the search first. Never search where the product type is "clothing" or "outfit".
If the user wants to see similar items to a previously-shown listing, they likely want VISUALLY similar items. First call to get the image_id and details, then call with query_images containing that image_id and prioritize_visual_similarity set to true.

Tools

Reads data2

Skills

1 in the ChatGPT listing

Screenshots

MCP connector

Server URL

https://mcp.tonita.co/mcp

None

Protocol

MCP 2025-11-25

Instructions

Tonita is a search engine for a large diverse catalog of clothing and apparel products.

Tonita has two primary tool calls: and .

is used to search for products that match the user's intent. is used to get the details for one or more listings.

General guidelines when invoking Tonita tool calls:

Stay focused on shopping-related topics.

When searching, make requests self-contained. Do NOT reference other products in the query (e.g., prefer "womens red waterproof jacket" over "jacket similar to patagonia ripstop").

If the user's intent is broad and could apply to 4 or more product types, narrow down the search first. Never search where the product type is "clothing" or "outfit".

If the user wants to see similar items to a previously-shown listing, they likely want VISUALLY similar items. First call to get the image_id and details, then call with query_images containing that image_id and prioritize_visual_similarity set to true.