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
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_seriesget_growthget_top_trendsdata_modepercent_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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