Google Trends data for AI assistants and agents Ask your AI what is trending on Google right now. Get breakout keywords, rising topics, and 5 years of normalized search interest data - without writing a single line of scraping code.
Full docs and live demo: https://trendsmcp.ai/google-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/day, no credit card required.
Step 2: Add to your AI client (replace YOUR_API_KEY):
+ Add to Cursor (one click)
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
After connecting, ask your AI:
get_trends(keyword='artificial intelligence', source='google search', data_mode='weekly')
| 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 |
Trends MCP returns normalized search interest (0-100 scale), absolute search volume estimates, weekly or daily time series, and growth rate over your chosen period. Data reflects real Google Search demand.
Google Trends shows relative interest only. Trends MCP adds absolute volume estimates, structured JSON output your AI can reason over, and cross-platform comparison - so you can compare Google interest against TikTok or Reddit in one query.
Yes. Pass a list of keywords and the MCP server returns normalized series for each, aligned on the same timeline so your AI can compare them directly.
Up to 5 years of weekly data or 30 days of daily data. Use the period parameter: '5y', '1y', '3m', '1m', or '30d'.
Yes. You can filter by country code (e.g. US, GB, DE) to get region-specific search interest instead of global data.
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
MIT © Trends MCP