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tchadcarby

mcp-sales-intel

by tchadcarby
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Python
Hybrid

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    TDQS

    A3.6/5.0

    Scored across 3 tools

    Disambiguation5/5

    The three tools target clearly distinct actions: scraping live gigs, analyzing supplied market markdown, and generating a pricing ladder. Their descriptions make boundaries explicit, so an agent should not confuse list_gigs with analyse_market or price_gig.

    Naming Consistency5/5

    All names follow a consistent snake_case verb_noun pattern: list_gigs, analyse_market, price_gig. The convention is predictable and readable throughout.

    Tool Count4/5

    Three tools cover the core scrape-analyze-price workflow without redundancy, which is well-scoped for a niche sales-intel server. It is slightly lean, but each tool earns its place.

    Completeness3/5

    The surface covers scraping, analysis, and pricing, but there is a notable gap: analyse_market requires raw Fiverr search-page markdown while list_gigs only returns structured gig cards, leaving no direct tool path to obtain that input. Additional gaps include seller-level detail and historical tracking, though the main workflow is partially covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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