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npm package trends and weekly downloads over time. Free key at trendsmcp.ai
About
npm package trends and weekly downloads over time. Free key at trendsmcp.ai
Remote endpoints: streamable-http: https://npm.api.trendsmcp.ai/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
Endpoint verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-trendsmcp-npm": {
"url": "https://npm.api.trendsmcp.ai/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
npm-trends-mcp
npm package trend data for AI assistants Track weekly download counts for any npm package. Package download trends reveal which JavaScript libraries and frameworks developers are adopting, which are losing ground, and where the ecosystem is heading.
Full docs and live demo: https://trendsmcp.ai/npm-trends
Part of Trends MCP - the MCP server for live trend data across 12+ sources. See the main repo: https://github.com/trendsmcp/trends-mcp
Get started in 2 steps
Step 1: Get your free API key at trendsmcp.ai 100 requests/month, no credit card required.
Step 2: Add to your AI client (replace YOUR_API_KEY):
Cursor / Windsurf / Cline (~/.cursor/mcp.json or equivalent)
{
"mcpServers": {
"trends-mcp": {
"url": "https://api.trendsmcp.ai/mcp",
"transport": "http",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
VS Code / GitHub Copilot (.vscode/mcp.json)
{
"servers": {
"trends-mcp": {
"type": "http",
"url": "https://api.trendsmcp.ai/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
Claude Desktop (claude_desktop_config.json)
User → Settings → Developer → Edit Config — add inside mcpServers
{
"mcpServers": {
"trends-mcp": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://api.trendsmcp.ai/mcp",
"--header",
"Authorization:${AUTH_HEADER}"
],
"env": {
"AUTH_HEADER": "Bearer YOUR_API_KEY"
}
}
}
}
Claude.ai (browser) Settings -> Connectors -> Add custom connector:
https://api.trendsmcp.ai/mcp
Example query
After connecting, ask your AI:
get_trends(keyword='react', source='npm', data_mode='weekly')
Available tools
| Tool | What it does |
|---|---|
get_trends | Time-series for a keyword on this source |
get_growth | Growth % over 1W, 1M, 3M, 6M, 1Y periods |
get_top_trends | What is trending right now on this source |
get_ranked_trends | Top topics ranked by volume |
FAQ
What npm data does Trends MCP return?
Weekly download counts for any npm package, normalized to a 0-100 scale, plus raw download volume, growth rates over standard periods (7D, 1M, 3M, 1Y), and a historical time series going back up to 5 years.
How do I query a specific package?
Use the exact npm package name - for example 'react', 'lodash', 'express', or '@anthropic-ai/sdk'. Scoped packages use the @org/package format.
Can I compare multiple packages?
Yes. Use get_growth with comma-separated package names or call get_trends for each package and compare the normalized series. Useful for framework comparisons like React vs Vue vs Svelte.
Why is npm data useful for investment research?
npm download trends are a leading indicator of developer ecosystem adoption. A library growing fast in downloads often precedes broader commercial adoption of the underlying platform or framework.
How is npm download data normalized?
Raw weekly download counts are normalized to a 0-100 scale relative to the package's own historical peak. This makes it possible to compare adoption velocity across packages with very different absolute download volumes.
All data sources
Trends MCP covers 12+ sources in one connection: Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia, News Sentiment, Web Traffic, App Downloads, Steam, npm, and more.
Browse all: https://trendsmcp.ai/data-sources
Also works as a Python client
Same API key works directly in Python - no MCP host needed.
pip install npm-trends-mcp
import os
from npm_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="Npm", limit=10)
Full Python docs: trendsmcp.ai/docs
License
MIT © Trends MCP
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