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subimpact-data-mcp

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    TDQS

    A3.5/5.0

    Scored across 20 tools

    Disambiguation4/5

    Each tool targets a distinct platform or data source (TikTok, Eventbrite, YouTube, Google Maps, etc.), so most are easy to tell apart. There is some overlap between google_search, google_ai_mode and web_page_markdown (all involve Google search + content), and between google_jobs and company_career_jobs, which could occasionally confuse selection.

    Naming Consistency3/5

    All names are snake_case, which is good, but conventions are mixed: some are bare platform names (substack, pinterest, youtube, bluesky) while others are descriptive action/resource names (google_search, news_mentions, get_run_results). The bare platform names lack an action verb, creating an inconsistent pattern across the set.

    Tool Count4/5

    20 tools is on the heavy side of the 3-15 ideal, but this is a multi-scraper aggregator where each tool serves a genuinely different data source, so most earn their place. The single utility tool (get_run_results) sensibly supports the async scraping workflow.

    Completeness4/5

    The surface covers a broad range of scraping domains (social, jobs, local, SEO, ads, news, web) plus get_run_results for handling long-running runs, giving agents full fetch-to-retrieve workflows. Coverage is wide though not systematic per-domain, so gaps are minor and workable.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues