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jain-eshan

Google Trends MCP

by jain-eshan

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    • A
      license
      A
      quality
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      maintenance
      Provides free Google Trends data (interest over time, term comparison, related queries, trending now, regional breakdown) to MCP-compatible AI clients without needing an API key.
      5
      232 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables free, local Google Trends analysis through MCP, including ranked breakout/rising/evergreen topic discovery, interest over time, keyword comparison, related queries, regional interest, and real-time trending searches without an API key or browser.
      10
      240 PyPI
      MIT

    TDQS

    A4.5/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool targets a distinct data source or dimension: Google Trends topics, queries, time series, regional breakdown, plus Wikipedia, OpenCorporates, Reddit, HN/GitHub, Google News, App Store, and YouTube. Even within Trends, related_topics vs related_queries are clearly separated by content type. No ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent snake_case noun phrase pattern (e.g., interest_over_time, reddit_signal, builder_activity). No mixing of conventions or verb styles, making the set predictable and easy to navigate.

    Tool Count5/5

    With 11 tools covering a wide but focused range of market research signals, the count is well-scoped. Each tool contributes a unique data source, and none feel redundant or missing for the server's stated purpose.

    Completeness4/5

    The surface covers search interest, related topics/queries, regional data, reference interest (Wikipedia), community chatter (Reddit), builder activity (HN/GitHub), news coverage, app ecosystem, and YouTube viewership. Minor gaps exist (e.g., no global 'trending now' without a keyword, no multi-keyword regional comparison), but core workflows are well supported.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive