Google Trends MCP
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to access Google Trends data for comparing keywords, discovering trending searches, and analyzing regional interest through natural language.2MIT
- AlicenseBqualityFmaintenanceProvides access to Google Trends data including status, trending questions, and trending topics via MCP tools.316 npm28MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to query Google Trends data, including search interest over time, regional breakdowns, trending searches, and keyword ideas.MIT
- AlicenseAqualityAmaintenanceEnables MCP clients to fetch Google Trends data for any term, including interest over time, interest by region, and related queries and topics, all as structured JSON.21514 npm121 PyPI6MIT
- AlicenseAqualityDmaintenanceProvides 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.5232 npmMIT
- AlicenseAqualityAmaintenanceEnables 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.10240 PyPIMIT
TDQS
Scored across 11 tools
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.
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.
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.
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.