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Health: ActiveRecent health check succeeded.Last checked 8/26/2026, 11:01:23 PM

Google Trends API

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Google Trends search interest over time with growth metrics. Free key at trendsapi.ai

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "google-trends-api-2": {
      "command": "uvx",
      "args": [
        "google-trends-client"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ“Š More in Monitoring

Documentation Overview

Google Trends API

Python client for Google Trends data via the Trends API. Normalized 0-100 scores, history + growth, free tier. Not a scraper.

License: MIT PyPI Python npm

Key: trendsapi.ai/#get-key. HTTP contract and every source: trendsapi-ai/trendsapi.

Authentication

Terminal
pip install google-trends-client
export TRENDSAPI_KEY=your_key

Python 3.9+. Same key as the HTTP API.

server.ts
from google_trends_client import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

Keyword helpers default to source: "google search". Pass source= to hit any other platform with the same client. Official full client (every source, no preset): trendsapi.

Methods

MethodREST modeReturns
get_time_series(keyword, source=, data_mode=)get_time_serieslist[TrendsDataPoint]
get_growth(keyword, percent_growth=, source=, data_mode=)get_growthGetGrowthResponse
get_live(limit=, offset=, category=)get_top_trendsGetTopTrendsResponse
get_top_trends(type=, ...)get_top_trendsGetTopTrendsResponse

source is lowercase (google search). type is exact (Google Trends). Mixing them is a 400.

server.ts
from google_trends_client import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

series = client.get_time_series("heat pump")
print(series[-1].date, series[-1].value)

growth = client.get_growth("heat pump", percent_growth=["3M", "12M"])
print(growth.results[0].growth, growth.results[0].direction)

hot = client.get_live(limit=10)
print(hot.data)                         # [[1, "..."], ...]

get_time_series

python
points = client.get_time_series("heat pump")

Each point:

FieldAlwaysMeaning
dateyesYYYY-MM-DD
valueyes0-100 index for this series
keywordyesEcho
volumenoAbsolute volume when available
source or datatypenoPipeline label

Python returns list[TrendsDataPoint]. Use .date and .value, not ["date"]. JS returns the same fields as object properties.

get_growth

python
g = client.get_growth("heat pump", percent_growth=["12M", "3M", "YTD"])
print(g.results[0].growth, g.results[0].direction)

percent_growth default: ["12M"]. Presets: 7D 14D 30D 1M 2M 3M 6M 9M 12M/1Y 18M 24M/2Y 36M/3Y 48M 60M/5Y MTD QTD YTD. Custom: {"name": "Launch", "recent": "2024-06-01", "baseline": "2024-01-01"}.

FieldMeaning
search_termKeyword
data_sourceSource
resultsOne object per window (period, growth, direction, dates, values)
metadataCounts / success flag

Several windows still count as one request. Python: growth.results[0].growth. JS: growth.results[0].growth.

get_live

python
hot = client.get_live(limit=10)
FieldMeaning
as_of_tsSnapshot time
typeFeed name
limit, offset, countPagination
data[rank, label] rows

Python: hot.data. JS: hot.data. Optional offset= and category= (Amazon Best Sellers by Category, Top Websites only).

Async

server.ts
import asyncio
from google_trends_client import AsyncTrendsAPI

async def main():
    c = AsyncTrendsAPI()
    return await asyncio.gather(
        c.get_time_series("heat pump"),
    )

asyncio.run(main())

Each 200 is one billed request.

Pandas

server.ts
from dataclasses import asdict
import pandas as pd
from google_trends_client import TrendsAPI

df = pd.DataFrame(asdict(p) for p in TrendsAPI().get_time_series("heat pump"))
df["date"] = pd.to_datetime(df["date"])
print(df.set_index("date")["value"].resample("ME").mean().tail())

JavaScript / TypeScript

Terminal
npm install google-trends-js

Node 18+, Deno, Bun, Workers. Same API key. Field tables above apply.

Also published as google-trends-node, google-trends-client. Same client, different package name.

Methods

MethodREST modeReturns
getTimeSeries(keyword, { source, data_mode })get_time_seriesweekly points
getGrowth(keyword, { percent_growth, source, data_mode })get_growthgrowth object
getLive({ limit, offset, category })get_top_trendslive feed
getTopTrends({ type, ... })get_top_trendslive feed
server.ts
import { TrendsAPI } from "google-trends-js";

const client = new TrendsAPI({ apiKey: process.env.TRENDSAPI_KEY! });
const series = await client.getTimeSeries("heat pump");
console.log(series.at(-1)?.date, series.at(-1)?.value);

const growth = await client.getGrowth("heat pump", {
  percent_growth: ["3M", "12M"],
});
console.log(growth.results[0].growth, growth.results[0].direction);

const live = await client.getLive({ limit: 10 });
console.log(live.data);                 // [[1, "..."], ...]

Call (curl)

FieldValue
EndpointPOST https://api.trendsapi.ai/api
AuthAuthorization: Bearer $TRENDSAPI_KEY
Historysource: google search with get_time_series or get_growth
KeywordAny phrase, e.g. heat pump
Live typeGoogle Trends
Terminal
curl -sS -X POST https://api.trendsapi.ai/api \
  -H "Authorization: Bearer $TRENDSAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"mode":"get_time_series","source":"google search","keyword":"heat pump"}'

Source notes

  • Related sources (same endpoint, different source): google images, google news, google shopping.
  • value is 0-100 for this term on Google web search, not Ads impressions.

Errors

HTTPClient
200Parsed payload. Python dataclasses / JS typed objects
400Raises. Fix source or type spelling
401Raises. Check TRENDSAPI_KEY
404Raises. No series for that keyword. Do not retry
429Raises. Quota
5xxClient retries, then raises

The HTTP body field is a JSON string. SDKs decode it. Raw curl must parse body a second time.

Site: https://trendsapi.ai/trends/google-trends.

License

MIT. See LICENSE.

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Frequently Asked Questions about Google Trends API

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "google-trends-api": { "command": "npx", "args": ["-y", "Google Trends API"] } }

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Technical Specs & Signals

CategoryπŸ“ŠMonitoring
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit8d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 18, 2026
40Quality signal: Fair Β· 40/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 2h ago via OSV.dev Β· google-trends-client (PyPI)

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