Trends MCP

Real-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, X (Twitter), LinkedIn, Spotify, GitHub…

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What it can do

  • TrendsMCP Get Growth: Analyze growth trends in normalized (0-100 scale) alternative data for investment intelligence. Calculates point-to-point growth comparing two specific data points. Supports pres
  • TrendsMCP Get Ranked Trends: Retrieve ranked top trends using precomputed growth columns from the latest materialized views. Supports keyword, catalysts, companySingle, and companyCombined modes. Retu
  • TrendsMCP Get Top Trends: Retrieve the current top trending items for a specific data source. Returns the latest ranked list for the requested type.

What data it sees

Do you need an account

No: the server works without sign-in

Real-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, X (Twitter), LinkedIn, Spotify, GitHub, Steam, npm, App Store, news sentiment and web traffic via one MCP connection. Free API key, 20 requests/day, no credit card required.

Get your free API key on www.trendsmcp.ai

How to connect

How to connect Trends MCP to Claude

The server address to paste into Claude settings:

https://trends-mcp--trendsmcp.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Trends MCP to ChatGPT

The server address to paste into ChatGPT settings:

https://trends-mcp--trendsmcp.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Trends MCP to Cursor

The server address to paste into Cursor settings:

https://trends-mcp--trendsmcp.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (4)

Raw names from tools/list. Only developers need these.

trendsMCP___get_growthAnalyze growth trends in normalized (0-100 scale) alternative data for investment intelligence. Calculates point-to-point growth comparing two specific data points. Supports preset time periods (12M, 6M, 3M, YTD, etc.) that automatically calculate dates, or custom date comparisons for precise analysis. All data is normalized on a 0-100 relative scale for consistent cross-platform comparison. Returns percentage change, volume metrics, data quality indicators, and exact dates used. Ideal for tracking brand momentum, market trends, competitive intelligence, and validating investment hypotheses across Google Search (search volume), Google Images (image search volume), Google News (news search volume), Google Shopping (shopping search volume), YouTube (video search volume), Wikipedia (page views), TikTok (hashtag volume), Amazon (product search volume), News Sentiment (news article sentiment analysis), and News Volume (news article volume intensity).
trendsMCP___get_ranked_trendsRetrieve ranked top trends using precomputed growth columns from the latest materialized views. Supports keyword, catalysts, companySingle, and companyCombined modes. Returns a ranked list with growth metrics and optional filters for datatype, volume, quality, and company metadata.
trendsMCP___get_top_trendsRetrieve the current top trending items for a specific data source. Returns the latest ranked list for the requested type.
trendsMCP___get_trendsRetrieve normalized (0-100 scale) historical time series data for detailed analysis. Returns full historical data points with values normalized on a 0-100 relative scale and absolute volume metrics when available. All trend values are normalized for consistent cross-temporal and cross-platform comparison. Use this when you need granular data points for custom calculations, charting, or time series modeling. Each data point includes date, normalized trend value (0-100), search volume, keyword, and data source. Provides approximately 5 years of weekly data or 1 month of daily data depending on mode. For most growth and trend questions, prefer get_growth which provides calculated metrics and insights. Best suited for quantitative researchers, data scientists, and analysts requiring raw normalized data for proprietary analysis.