google-trends-mcp
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- AlicenseAqualityAmaintenanceEnables 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.3265 PyPI4MIT
- 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.1840 PyPI1MIT
- AlicenseNot gradedqualityBmaintenanceProvides Google Search trend data as an MCP tool, with historical series, growth percentages, and live trending searches, no scraping or rate limits.1MIT

Trends MCPofficial
AlicenseNot gradedqualityCmaintenanceProvides hosted trend data MCP server for querying Google, TikTok, Amazon, Reddit, YouTube, Steam, npm and 30+ trend sources in natural language from any MCP-compatible AI.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.1147 npm42 PyPI5MIT
- AlicenseAqualityAmaintenanceEnables querying Google Trends data directly from conversational MCP clients, including search interest over time, related queries and topics, regional breakdowns, and trending searches, for market research without leaving the chat.111MIT
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: daily trending searches, time series for up to 5 terms, comparison of terms, related queries, and regional breakdown. No overlap or ambiguity.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., trending_now, interest_over_time, compare_terms). No deviation in style.
With 5 tools, the set covers the essential Google Trends functionalities without being excessive. Each tool serves a core purpose, and the count is well-scoped for the domain.
The set covers key features: daily trending, interest over time, comparison, related queries, and regional interest. Minor gaps like real-time trends or category filtering are present but do not break core workflows.