Google Search Trends Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Google Search Trends Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
The number one Python package for Google Search trend data. Google Search trends as an MCP tool. Plug into Claude, Cursor, or any MCP-compatible AI host. Weekly series, growth percentages, and live Google trending searches.
Powered by trendsmcp.ai, the #1 MCP server for live trend data.
[Get your free API key at trendsmcp.ai](https://trendsmcp.ai) - 100 free requests per month, no credit card.
?? [Full API docs ? trendsmcp.ai/docs](https://trendsmcp.ai/docs)
Updated for 2026. Works with Python 3.8 through 3.13.
Add to your mcp.json (Claude Desktop, Cursor, or any MCP host):
{
"mcpServers": {
"trends": {
"command": "npx",
"args": ["-y", "trendsmcp"],
"env": { "TRENDS_API_KEY": "YOUR_API_KEY" }
}
}
}Get your free key at [trendsmcp.ai](https://trendsmcp.ai).
If you have used pytrends or similar scrapers before, you know the problems: random 429 Too Many Requests blocks, broken pipelines at 2am, time.sleep() hacks, proxy rotation costs, and a library that is now archived because Google explicitly flags scrapers at the protocol level.
trendsmcp is the managed alternative. We run the data infrastructure. You call a REST endpoint.
| Scrapers / pytrends | trendsmcp | |
|---|---|---|
| 429 rate limit errors | constant | never |
| Proxy required | often | never |
| Breaks on platform changes | yes, regularly | no |
| Platforms covered | 1 (Google only) | 13 |
| Absolute volume estimates | no | yes |
| Cross-platform growth | no | yes |
| Async support | no | yes |
| Actively maintained | no (archived) | yes |
| Free tier | no | yes, 100 req/month |
pip install google-search-trends-mcpZero system dependencies. Python 3.8 or later. Uses httpx under the hood.
from google_search_trends_mcp import TrendsMcpClient, SOURCE
client = TrendsMcpClient(api_key="YOUR_API_KEY")
# 5-year weekly time series, no sleep(), no proxies, no 429s
series = client.get_trends(source=SOURCE, keyword="bitcoin")
print(series[0])
# TrendsDataPoint(date='2026-03-28', value=72, keyword='bitcoin', source='google search')
# Period-over-period growth
growth = client.get_growth(
source=SOURCE,
keyword="bitcoin",
percent_growth=["12M", "YTD"],
)
print(growth.results[0])
# GrowthResult(period='3M', growth=14.5, direction='increase', ...)
# What's trending right now
trending = client.get_top_trends(limit=10)
print(trending.data)
# [[1, 'topic one'], [2, 'topic two'], ...]import asyncio
from google_search_trends_mcp import AsyncTrendsMcpClient, SOURCE
async def main():
client = AsyncTrendsMcpClient(api_key="YOUR_API_KEY")
series = await client.get_trends(source=SOURCE, keyword="bitcoin")
print(series[0])
asyncio.run(main())Run multiple platform queries concurrently:
google, youtube, reddit = await asyncio.gather(
client.get_trends(source="google search", keyword="bitcoin"),
client.get_trends(source="youtube", keyword="bitcoin"),
client.get_trends(source="reddit", keyword="bitcoin"),
)TrendsMcpClient output directly as tool results or contextget_trends() response converts to a DataFrame in one lineget_trends(source, keyword, data_mode=None)Returns a historical time series for a keyword. Defaults to 5 years of weekly data. Pass data_mode="daily" for the last 30 days at daily granularity.
get_growth(source, keyword, percent_growth, data_mode=None)Calculates percentage growth between two points in time. Pass preset strings or CustomGrowthPeriod objects.
Growth presets: 7D 14D 30D 1M 2M 3M 6M 9M 12M 1Y 18M 24M 2Y 36M 3Y 48M 60M 5Y MTD QTD YTD
get_top_trends(type=None, limit=None)Returns today's live trending items. Omit type to get all feeds at once.
Available feeds: Google Trends YouTube TikTok Trending Hashtags Reddit Hot Posts Amazon Best Sellers Top Rated App Store Top Free Wikipedia Trending Spotify Top Podcasts X (Twitter) and more.
One API key. One client. All platforms. No separate credentials for each.
| source | What it measures |
|---|---|
"google search" | Google Search volume |
"google images" | Google Images search volume |
"google news" | Google News search volume |
"google shopping" | Google Shopping purchase intent |
"youtube" | YouTube search volume |
"tiktok" | TikTok hashtag volume |
"reddit" | Reddit mention volume |
"amazon" | Amazon product search volume |
"wikipedia" | Wikipedia page views |
"news volume" | News article mention count |
"news sentiment" | News sentiment score (positive/negative) |
"npm" | npm package weekly downloads |
"steam" | Steam concurrent player count |
All values normalized 0 to 100 on the same scale so you can compare across platforms directly.
from google_search_trends_mcp import TrendsMcpClient, TrendsMcpError, SOURCE
client = TrendsMcpClient(api_key="YOUR_API_KEY")
try:
series = client.get_trends(source=SOURCE, keyword="bitcoin")
except TrendsMcpError as e:
print(e.status) # e.g. 429 if you exceed your plan quota
print(e.code) # e.g. "rate_limited"
print(e.message)Does this scrape Google Search? No. trendsmcp runs managed data infrastructure. Your Python code makes a single authenticated REST call. No scraping, no Selenium, no cookies, no proxies required.
Do I need a Google Search developer account, OAuth token, or platform API key? No. One trendsmcp API key gives you access to all 13 sources.
Will it break when Google Search changes its backend? No. API stability is our responsibility. If something changes upstream, we update the backend. Your code keeps working.
Is there a free tier? Yes, 100 requests per month, no credit card required. Get your key at trendsmcp.ai.
Can I use this in production data pipelines? Yes. The client is stateless, thread-safe, and supports async for concurrent queries across multiple platforms.
Same API key works directly in Python - no MCP host needed.
pip install google-search-trends-mcpimport os
from google_search_trends_mcp import TrendsMcpClient, SOURCE
client = TrendsMcpClient(api_key=os.environ["TRENDSMCP_API_KEY"])
series = client.get_trends(source=SOURCE, keyword="your keyword")
growth = client.get_growth(source=SOURCE, keyword="your keyword", percent_growth=["1M", "3M", "12M"])
top = client.get_top_trends(type="Google Search", limit=10)Full Python docs: trendsmcp.ai/docs
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.