Trendzeist – Google Trends for content ideation MCP server
Free Google Trends MCP: ranked breakout/rising/evergreen topics for content ideas. No API key.
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Trendzeist – Google Trends for content ideation tools (9)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
compare_keywordsCompare 2-5 keywords head-to-head: relative share, leader and trend direction for each. Use to pick the strongest angle among alternatives.
discover_topicsOne-shot topic discovery for blog ideation. For 1-5 seed keywords, pulls trend direction plus rising/top related queries, de-duplicates and ranks candidates as breakout > rising > evergreen. Partial failures are reported per seed in `errors` instead of failing the call.
interest_by_regionWhere a keyword is searched most. resolution: COUNTRY (worldwide), REGION (states/provinces within geo), CITY, DMA (US metro areas).
interest_over_timeSearch-interest time series (0-100) for 1-5 keywords, with per-keyword summary (mean, latest, peak, direction: rising/stable/falling). Long series are downsampled to ~60 points. gprop: '' (web), 'news', 'youtube', 'images', 'froogle'.
list_categoriesBrowse/search Google Trends category ids (e.g. 'coffee' -> Food & Drink > Coffee & Tea). Pass the id as `category` to other tools to narrow results.
related_queriesTop and rising search queries related to a keyword. 'rising' includes % growth and is_breakout (>5000%); best single source of fresh blog angles.
related_topicsTop and rising Knowledge-Graph topics related to a keyword. Google often returns nothing here; if available=false fall back to related_queries.
suggest_keywordsGoogle's entity suggestions for a keyword (title, type, mid). Use to disambiguate ambiguous terms or find the canonical topic id.
trending_nowReal-time trending searches (last ~24h) for a country or US state, with approximate traffic and linked news headlines. Good for newsjacking.
Public scan report
scanner v0.1.5 · 2026-09-19 · same rubric, same numbers if you re-run it
- Code scan9 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitystatic API keys via environment variables6/15
- Maintenancelast push 3 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
What the publisher says
From the Trendzeist – Google Trends for content ideation repository's README, as published. We do not edit it. Read it on GitHub
trendzeist-mcp
<!-- mcp-name: io.github.phalkmin/trendzeist-mcp -->
Turn Google Trends into your next 10 blog posts — in one call.
trendzeist-mcp gives your AI assistant ranked breakout / rising / evergreen topics, the questions people actually ask, a title angle per idea, plain-English trend insights, interest curves, regional demand and real-time trends. Free, local, private. No API key, no account, no browser.
SEO and AEO: find the questions people ask — and answer engines answer — then make your site the source they cite. Measuring your own visibility inside ChatGPT / Perplexity / AI Overviews is out of scope; this server tells you what to write, not who cites you.
You: Give me blog post ideas about home espresso for US readers.
Agent: → discover_topics(["espresso", "espresso machine"], geo="US")
← 1 breakout, 14 rising, 14 evergreen candidates with growth %, angles and 6 questions
→ mine_questions("espresso machine", geo="US")
← 30 long-tail questions: how-to 18, comparison 6, definition 4, listicle 2
→ compare_keywords(["how to descale espresso machine", "best coffee beans for espresso"])
← "Interest in 'how to descale espresso machine' rose 120% ... peaking 2026-08-30 (rising)."
"1. How to Descale Your Espresso Machine (how-to, rising +120%, publish now) ..."Built with
trendzeist-mcp is a thin MCP layer over pytrends-modern, which handles all Google Trends requests. Trendzeist adds the MCP tools and prompt, request throttling, a persistent disk cache, strict input validation, LLM-friendly JSON output and the ranked discover_topics workflow. Other runtime dependencies: mcp (official MCP Python SDK), pandas, platformdirs and requests. All MIT/BSD/Apache licensed.
Quick start
# any one of these
uvx trendzeist-mcp
pipx run trendzeist-mcp
pip install trendzeist-mcp && trendzeist-mcp
docker run -i --rm ghcr.io/phalkmin/trendzeist-mcpClaude Desktop — add under mcpServers in claudedesktopconfig.json (macOS ~/Library/Application Support/Claude/, Windows %APPDATA%\Claude\, Linux ~/.config/Claude/):
"trendzeist": { "command": "uvx", "args": ["trendzeist-mcp"] }Claude Code: claude mcp add trendzeist -- uvx trendzeist-mcp Cursor / VS Code / Codex: same command/args shape — see llms-install.md (written so you can paste it to an AI assistant and let it do the install).
Tools
Prompt: blogideasfrom_trends(topic, audience, geo) — a guided ideation workflow.
Output conventions (since 0.3.0)
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Install directly
claude mcp add trendzeist-mcp -- uvx trendzeist-mcp
Trendzeist – Google Trends for content ideation: common questions
- Is Trendzeist – Google Trends for content ideation MCP server safe?
- Mostly: it is graded B (83/100). Read the Trendzeist – Google Trends for content ideation safety report
- How do I install Trendzeist – Google Trends for content ideation?
- It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
- Does Trendzeist – Google Trends for content ideation need an API key?
- Yes. The registry entry asks for
TRENDZEIST_PROXIES. - Is Trendzeist – Google Trends for content ideation maintained?
- The last commit was 5 days ago (2026-09-16). The latest release is v0.2.1.