
Google Trends Mcp
io.github.purahmanian由 GitHub 帳號 purahmanian 發布v0.1.1更新於 Oct 24, 2026
Google Trends MCP server: interest over time, comparisons, related queries, trending searches
概覽
讓助理取得 Google Trends 資料:隨時間變化的關注度、關鍵字比較、相關查詢、熱門搜尋與地區關注度。
- 可以做什麼
- 這個本機 MCP 伺服器提供五個以 Google Trends 為基礎的工具:interest_over_time 回傳最多五個關鍵字的每週 0-100 關注度分數;compare_terms 對二到五個關鍵字做正規化比較並指出勝出者;related_queries 列出相關查詢中的熱門與上升項目;trending_now 回傳某國當天的熱門搜尋;interest_by_region 依國家或次級地區拆分關注度。它透過 stdio 執行,不需要 API 金鑰。
- 適用情境
- 當你想在 AI 用戶端中取得搜尋需求訊號時使用:查看季節性、比較關鍵字或品牌關注度、找出上升的相關查詢,或了解某國的熱門搜尋。適合行銷、產品研究與內容規劃,而非精確的市場衡量。
- 執行需求
- 需要本機 Node.js 執行環境與 npx,因為它以 npm 套件 google-trends-mcp 透過 stdio 安裝並執行。未宣告需要 API 金鑰、帳號或環境變數。需要能連線至 Google Trends 端點的外送網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Google Trends Mcp,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
google-trends-mcp
Free Google Trends data inside any MCP-compatible AI client. No API key required.
UNOFFICIAL ENDPOINT DISCLAIMER
This server communicates with the same internal endpoints that the trends.google.com frontend uses. These endpoints are undocumented and unofficial. Google can change, rate-limit, or remove them at any time without notice. This project is not affiliated with, endorsed by, or sponsored by Google LLC. "Google Trends" is a trademark of Google LLC.
If requests start failing, open an issue. The fix is usually a URL or parameter tweak.
What it does
Quick start
No API key is needed. Install and run via npx.
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json
(macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
Claude Code
OpenAI Codex CLI
Add to ~/.codex/config.toml:
Example conversations
Spotting seasonality:
"Use Google Trends to show me interest in 'pumpkin spice' over the past 5 years worldwide."
The model calls
interest_over_timewithterms=["pumpkin spice"],timeframe="today 5-y"and narrates the clear September-October spikes each year.
Keyword competition:
"Compare search interest in 'Notion', 'Obsidian', and 'Roam Research' in the US this year."
The model calls
compare_terms, reads the averages, and identifies the winner with supporting time-series data.
Opportunity discovery:
"What are the fastest-rising related queries for 'sourdough bread' right now?"
The model calls
related_queriesand surfaces the rising queries, often revealing adjacent niches and trending subtopics.
Development
Rate limits and blocking
Google does not publish a rate limit for these endpoints. In practice, a few requests per minute works reliably. If you hit HTTP 429 or get blocked, the server returns a descriptive error message. Waiting 2-5 minutes usually resolves it.
Built by
Built by Puya Ventures LLC. I build custom MCP servers and AI integrations for product teams and researchers. Get in touch: [email protected] | Portfolio: puyarahmanian.com
Part of the Product-Research MCP Suite: keepa-mcp · google-trends-mcp · junglescout-mcp
Privacy
This server runs entirely on your machine. It collects no telemetry and stores no data. The only network calls it makes are to Google Trends endpoints (trends.google.com), sending the search terms and region codes you ask about. No account or API key is involved. See Google's privacy policy: https://policies.google.com/privacy
License
MIT. See LICENSE.
來源:README.md,提交 a505da1
工具
0版本歷史
1- v0.1.1最新Sep 16, 2026
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