npm package trends and weekly downloads over time. Free key at trendsmcp.ai
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
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
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 Β (~/.cursor/mcp.json or equivalent)
VS Code / GitHub Copilot Β (.vscode/mcp.json)
Claude Desktop Β (claude_desktop_config.json)
User β Settings β Developer β Edit Config β add inside mcpServers
Claude.ai (browser) Β Settings -> Connectors -> Add custom connector:
After connecting, ask your AI:
| 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 |
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.
Use the exact npm package name - for example 'react', 'lodash', 'express', or '@anthropic-ai/sdk'. Scoped packages use the @org/package format.
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.
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.
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.
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
Same API key works directly in Python - no MCP host needed.
MIT Β© Trends MCP
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