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shopino-mcp

shopino-mcp

by sepehr071
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.1/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: keyword search, cheapest products, category/shop/tag browsing, filter metadata, categories, brands, deals, campaigns, product detail, similar products, blog search, blog post, shop search, and shop profile. The descriptions explicitly cross-reference related tools and give 'Use for' guidance that resolves any potential overlap between search, browse, and find_cheapest.

    Naming Consistency4/5

    All tools share a consistent sh_ prefix and snake_case formatting, which is predictable and readable. However, the pattern is not strictly verb_noun: several tools are noun-based (sh_shop, sh_product, sh_campaign) while others use verbs (sh_search, sh_browse), so it falls short of perfect consistency.

    Tool Count5/5

    14 tools are well-scoped for a shopping discovery server covering products, shops, deals, campaigns, and blog content. Each tool serves a distinct role without redundancy, and the count sits comfortably within the typical 3–15 range.

    Completeness4/5

    The surface covers core discovery workflows: product search, cheapest finding, filtered browsing, metadata lookups, product details, similar items, shops, deals, and blog content. Minor gaps remain, such as no explicit review or Q&A retrieval for products, but these are not critical for the primary discovery purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources