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geekbi-temu-research-mcp

by geekbi
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Python
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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

    A4.8/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct research dimension: site, goods, image, store, category, keyword, and reviews. Despite goods and image search both returning product data, image search is clearly for visual matching, eliminating ambiguity.

    Naming Consistency5/5

    All tools follow the consistent pattern temu_<resource>_<action> (e.g., temu_site_list, temu_goods_search). The single use of 'list' vs 'search' is appropriate for the resource type and does not break the overall convention.

    Tool Count5/5

    With 7 tools, the set is well-scoped for a specialized Temu research server. Each tool covers a major search dimension without redundancy, making the count ideal.

    Completeness5/5

    The tool set provides comprehensive coverage for the research domain: site selection, product search, image search, store search, category search, keyword search, and review analysis. Workflows like identify product via goods search then querying reviews are fully supported.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources