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jain-eshan

Google Trends MCP

by jain-eshan
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Python
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    Related Servers

    • Google Trends MCP Server

      mamrrez
      A
      license
      A
      quality
      A
      maintenance
      Enables Claude, Cursor, and other MCP clients to retrieve and analyze Google Trends data, including trending searches, interest over time and by region, related queries, seasonality, momentum, and share of search, without requiring an API key.
      32
      365 PyPI
      1
      MIT

    • google-trends-mcp

      purahmanian
      A
      license
      A
      quality
      D
      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
      138 npm
      2
      MIT
    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

    A4.5/5.0

    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

    Resources