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Ecommerce Store Discovery MCP Server

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      Enables querying the Apify Store to retrieve structured data on public Actors including pricing, usage trends, ratings, and categories. Integrates with AI agents for market research and competitor tracking.
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    • A
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      Enables AI agents to discover new and pre-launch Shopify stores from public CT logs and RDAP data, and to check any list of domains for Shopify usage with registration dates and store metadata.
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      Given a company domain or name, it checks ten app marketplaces — HubSpot, Salesforce AppExchange, Slack, Zapier, Shopify, Atlassian, Chrome Web Store, Microsoft, Google Workspace, and WordPress — to report where the company is listed, with each listing's URL, installs, rating, review count, and match confidence. Useful for competitive research and partner-ecosystem audits across many domains in a single run.
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    TDQS

    A4.4/5.0

    Scored across 1 tool

    Disambiguation5/5

    There is only one tool, so there is no possibility of selecting the wrong tool or confusing overlapping purposes. Its purpose is clearly stated as ecommerce store discovery.

    Naming Consistency5/5

    The single tool name follows a clear snake_case verb_noun pattern: discover_ecommerce_stores. Although there is only one name, it is descriptive and internally consistent.

    Tool Count3/5

    A single tool is thin for an MCP server, even one narrowly focused on store discovery. The tool itself is broad and complex, but the surface offers no separate lookup, filtering, or result-management operations.

    Completeness4/5

    The discovery operation returns rich store-level details, platform evidence, contact data, social links, ranking context, and error run IDs. Minor gaps remain, such as no follow-up lookup by domain or pagination/result-management tools, but the core discovery workflow is covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues