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  • A
    license
    Not graded
    quality
    D
    maintenance
    The Vistoya MCP server gives AI agents direct access to a curated, multi-brand fashion catalog. Agents can search by structured filters, discover products through natural language, find similar items, and retrieve full product details — all over a single Streamable HTTP connection.
    3 npm
    MIT

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TDQS

A4.7/5.0

Scored across 10 tools

Disambiguation5/5

Each tool has a clearly distinct purpose, with overlapping search variants (text, image URL, image upload) explicitly disambiguated by input type. Look curation tools are separated by occasion vs. seed product, and product retrieval vs. stock check are clearly differentiated.

Naming Consistency5/5

Tool names follow a consistent domain-prefixed snake_case pattern (products.items.*, products.search.*, looks.curation.*, etc.), with predictable verb-noun combinations. The naming convention is uniform and intuitive.

Tool Count5/5

The server has 10 tools, well within the ideal 3-15 range. Each tool covers a distinct aspect of the fashion discovery and purchase flow without redundancy, making the count appropriate for the domain.

Completeness4/5

The tool set covers the full shopping workflow: search (text, image, alternatives), product details, stock verification, outfit curation, and checkout link generation. Minor gaps exist like missing wishlist/cart management, but these are likely outside the intended scope.

Maintenance

ActivityMaintained
ResponsivenessNo issues