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ebay-lens

ebay-lens

by jacobcurtis24
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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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

    A3.7/5.0

    Scored across 7 tools

    Disambiguation4/5

    Keyword search vs. visual-similarity search are clearly separated, as are item metadata, photo download, and photo zoom. The only mild overlap is between get_ebay_item (which returns photo count), get_ebay_item_photos, and zoom_ebay_photo, but the granularity levels are described well enough to choose correctly. suggest_ebay_categories vs. get_ebay_category_aspects is a clean split (discover id vs. discover filters for an id).

    Naming Consistency4/5

    All tools use snake_case with a consistent verb_ebay_noun shape (get_ebay_item, zoom_ebay_photo, suggest_ebay_categories, get_ebay_category_aspects). Minor deviations: search_ebay puts the object last and search_ebay_by_image adds a prepositional suffix. Still highly predictable and readable.

    Tool Count5/5

    Seven tools covering search, visual search, detail retrieval, media inspection, and category/aspect discovery—each earns its place in the research workflow. No obvious redundancy or padding.

    Completeness4/5

    The find-inspect-verify loop is fully covered: discover categories/aspects → search (keyword or image) → pull item details → download and zoom photos. Notable gap: no access to sold/completed listings or seller feedback, which limits price valuation and seller vetting, though agents can work around it with external sources.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources