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trendsmcp-ai/Trends-MCP

by Various

MCP server for live trend data. Query Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia, News sentiment, Web Traffic, App Downloads, Steam, npm and more. Works with Claude,

MCP

trendsmcp-ai/Trends-MCP

Added 16 Sept 2026

#ai-agent #ai-assistant #app-downloads #chatgpt #claude #cursor #github-copilot #google-trends

Overview

MCP server for live trend data. Queries Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia, News sentiment, Web Traffic, App Downloads, Steam, npm and more. Works with Claude, Cursor, VS Code, GitHub Copilot, ChatGPT, Windsurf, Cline, Raycast and any MCP-compatible client. Written in Python.

Best for

Best for
Developers who want live trend data inside MCP-compatible assistants or agents

Use cases

  • Fetch current search and social trends for content research
  • Monitor news sentiment and web traffic for market awareness
  • Pull app download and Steam data for competitive analysis

How to use

Install

pip install -e .

Tools exposed

  • get_time_series
  • get_growth
  • get_top_trends
  • data_mode
  • percent_growth

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, VS Code, ChatGPT

Notes

MCP server for live trend data. Queries Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia, News sentiment, Web Traffic, App Downloads, Steam, npm and more. Works with Claude, Cursor, VS Code, GitHub Copilot, ChatGPT, Windsurf, Cline, Raycast and any MCP-compatible client. Written in Python.

39 stars on GitHub. Last updated 2026-08-29. Licensed MIT.

Use cases

  • Fetch current search and social trends for content research
  • Monitor news sentiment and web traffic for market awareness
  • Pull app download and Steam data for competitive analysis

Pros

  • Covers many data sources through one interface
  • Integrates with popular MCP-compatible tools
  • Python-based and straightforward to run

Cons

  • Small project with 39 stars, limited community validation
  • Depends on external services that may change or rate-limit
  • Documentation and maintenance details are not well established

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Covers many data sources through one interface
  • Integrates with popular MCP-compatible tools
  • Python-based and straightforward to run

Cons

  • Small project with 39 stars, limited community validation
  • Depends on external services that may change or rate-limit
  • Documentation and maintenance details are not well established

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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