How do I install App Store Trends MCP?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does App Store Trends MCP need an API key?

No required environment variable is listed on this record.

What transport does App Store Trends MCP use?

App Store Trends MCP is reached over HTTP.

When was App Store Trends MCP last checked?

Last checked 2026-10-19. App Store and Play downloads and charts over time, Android uses bundle ID. Free key at trendsmcp.ai

App Store Trends MCP server

Power your agent

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Add to Cursor Add in Claude Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Server URL

https://app-store.api.trendsmcp.ai/mcp

The Claude button above opens Claude with the name and URL filled in. You still confirm it there.

shClaude Code

1claude mcp add --transport http ai.trendsmcp-app-store https://app-store.api.trendsmcp.ai/mcp

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "ai.trendsmcp-app-store": {4      "command": "npx",5      "args": [6        "-y",7        "mcp-remote",8        "https://app-store.api.trendsmcp.ai/mcp"9      ]10    }11  }12}

claude_desktop_config.json

Remote · HTTPPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Remote

Transport: http
Version: 1.0.7
Last checked

4 tools

Tools

tools/listVoice mode preview

Tool	What it does
trends___get_growth

app-store-trends-mcp

App download trends as an MCP tool. Plug into Claude, Cursor, or any MCP-compatible AI host. Weekly series, growth percentages, and live top charts.

Powered by trendsmcp.ai — one API key, one client, 30+ data sources: Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia, App Store, Steam, npm, news volume, news sentiment, live trending feeds, and more. No separate credentials per platform.

Get your free API key → trendsmcp.ai — 100 free requests/month, no credit card.

📖 Full API docs → trendsmcp.ai/docs

Updated for 2026. Works with Python 3.8 through 3.13.

Quick install

Same four clients as the site hero. Get a free key first (100 req/mo). Claude and ChatGPT sign you in with OAuth. Cursor and VS Code: click, then put your key from /account if the deeplink used a placeholder.

Client	After you click
Claude	Connector name and URL are prefilled (`https://www.trendsmcp.ai/mcp`). Confirm, then authorize.
Cursor	Approve the MCP install. Replace `YOUR_API_KEY` if prompted.
ChatGPT	Enable Developer mode (Profile → Settings → Security). Name `Trends MCP`, URL `https://www.trendsmcp.ai/mcp`, then authorize.
VS Code	Sign in on the account page and use the VS Code button so the key is included.

Then ask: Using TrendsMCP, what's trending on Google right now?

Use as an MCP tool

Add to your mcp.json (Claude Desktop, Cursor, Windsurf, VS Code, or any MCP host):

{
  "mcpServers": {
    "trends-mcp": {
      "url": "https://api.trendsmcp.ai/mcp",
      "transport": "http",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    }
  }
}

Get your free key at trendsmcp.ai. Full setup instructions for Claude, Cursor, Windsurf, and VS Code at trendsmcp.ai/docs.

No scraping. No 429 errors. No proxies.

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.

pytrends alternative for App Store data

	Scrapers / pytrends	trendsmcp
429 rate limit errors	constant	never
Proxy required	often	never
Breaks on platform changes	yes, regularly	no
Data sources covered	1 (Google only)	30+
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

Install

pip install app-store-trends-mcp

Zero system dependencies. Python 3.8 or later. Uses httpx under the hood.

Quick start

from app_store_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="com.openai.chatgpt")
print(series[0])
# TrendsDataPoint(date='2026-03-28', value=72, keyword='com.openai.chatgpt', source='app downloads')

# Period-over-period growth
growth = client.get_growth(
    source=SOURCE,
    keyword="com.openai.chatgpt",
    percent_growth=["3M", "1Y"],
)
print(growth.results[0])
# GrowthResult(period='3M', growth=14.5, direction='increase', ...)

# What's trending right now (across all live platforms)
trending = client.get_top_trends(limit=10)
print(trending.data)
# [[1, 'topic one'], [2, 'topic two'], ...]

Async support

import asyncio
from app_store_trends_mcp import AsyncTrendsMcpClient, SOURCE

async def main():
    client = AsyncTrendsMcpClient(api_key="YOUR_API_KEY")
    series = await client.get_trends(source=SOURCE, keyword="com.openai.chatgpt")
    print(series[0])

asyncio.run(main())

Query multiple platforms concurrently with one key:

google, youtube, reddit, amazon, tiktok = await asyncio.gather(
    client.get_trends(source="google search", keyword="com.openai.chatgpt"),
    client.get_trends(source="youtube",       keyword="com.openai.chatgpt"),
    client.get_trends(source="reddit",        keyword="com.openai.chatgpt"),
    client.get_trends(source="amazon",        keyword="com.openai.chatgpt"),
    client.get_trends(source="tiktok",        keyword="com.openai.chatgpt"),
)

Use cases

SEO research: track keyword search volume trends across Google Search, Google News, and Google Images before publishing content
Market research: measure consumer demand signals on Amazon and Google Shopping before entering a product category
Investment research: monitor Reddit discussion volume, news sentiment, and Wikipedia page view spikes as leading indicators
Content strategy: find what is growing on YouTube and TikTok before topics peak and competition saturates them
Competitor tracking: compare brand search volume growth across platforms over custom date ranges
App analytics: track App Store interest and app download estimates alongside Reddit and news buzz

Works with

Claude (via MCP — trendsmcp.ai/docs)
Cursor (via MCP — trendsmcp.ai/docs)
ChatGPT (via MCP — trendsmcp.ai/docs)
Windsurf (via MCP — trendsmcp.ai/docs)
VS Code Copilot (via MCP — trendsmcp.ai/docs)
LangChain: pass TrendsMcpClient output directly as tool results or context
CrewAI: wrap any method as a Tool and drop it into your crew
AutoGen: register as a callable tool for any agent
LlamaIndex: use trend series as structured data nodes for retrieval
Pandas: each get_trends() response converts to a DataFrame in one line

Methods

`get_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 live feeds: Google Trends Google News Top News YouTube Trending TikTok Trending Hashtags X (Twitter) Trending Reddit Hot Posts Reddit World News Wikipedia Trending Amazon Best Sellers Top Rated Amazon Best Sellers by Category App Store Top Free App Store Top Paid Google Play Spotify Top Podcasts Top Websites

All 30+ data sources

One API key. One client. Every platform. 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 subreddit subscribers over time
`"amazon"`	Amazon product search volume
`"wikipedia"`	Wikipedia page views
`"news volume"`	News article mention count
`"news sentiment"`	News sentiment score (positive/negative)
`"app downloads"`	Mobile app download/install estimates (Android)
`"npm"`	npm package weekly downloads
`"steam"`	Steam concurrent player count

All values normalized 0–100 so you can compare across platforms directly.

Error handling

from app_store_trends_mcp import TrendsMcpClient, TrendsMcpError, SOURCE

client = TrendsMcpClient(api_key="YOUR_API_KEY")

try:
    series = client.get_trends(source=SOURCE, keyword="com.openai.chatgpt")
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)

Frequently asked questions

Does this scrape App Store? 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 App Store developer account, OAuth token, or platform API key? No. One trendsmcp API key gives you access to all 30+ data sources.

Will it break when App Store changes its backend? No. API stability is our responsibility. If something changes upstream, we update the backend. Your code keeps working.

Can I query multiple platforms with the same key? Yes. One key covers every data source. Switch source to any of the 30+ values listed above.

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.

Related packages

trendsmcp — core package, all 30+ data sources
youtube-trends-api / youtube-trends-mcp / youtube-trends-agent
reddit-trends-api / reddit-trends-mcp / reddit-trends-agent
google-search-trends-api / google-search-trends-mcp / google-search-trends-agent
amazon-trends-api / amazon-trends-mcp / amazon-trends-agent
tiktok-trends-api / tiktok-trends-mcp / tiktok-trends-agent
wikipedia-trends-api / wikipedia-trends-mcp / wikipedia-trends-agent
npm-trends-api / npm-trends-mcp / npm-trends-agent
steam-trends-api / steam-trends-mcp / steam-trends-agent
app-store-trends-api / app-store-trends-mcp /

License

MIT

App Store Trends MCP

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install App Store Trends MCP?

Does App Store Trends MCP need an API key?

What transport does App Store Trends MCP use?

When was App Store Trends MCP last checked?

Documentation

app-store-trends-mcp

Quick install

Use as an MCP tool

No scraping. No 429 errors. No proxies.

pytrends alternative for App Store data

Install

Quick start

Async support

Use cases

Works with

Methods

`get_trends(source, keyword, data_mode=None)`

`get_growth(source, keyword, percent_growth, data_mode=None)`

`get_top_trends(type=None, limit=None)`

All 30+ data sources

Error handling

Frequently asked questions

Related packages

Links

License