trendsmcp-ai/Trends-MCP — MCP server for live trend data.

Description and use

Here's a brief summary and explanation:

**Summary:** Trends-MCP is an open-source project providing a live trend data server that connects AI assistants to real tools and data through a standard protocol. It supports querying various data sources, including Google Search, YouTube, and Amazon, and works with popular AI tools like Claude, ChatGPT, and GitHub Copilot.

**Value:** The value proposition of Trends-MCP lies in its ability to standardize integrations between AI assistants and real tools and data, making it easier to connect and utilize various data sources. This standardization enables AI developers and users to focus on more complex tasks, rather than building custom integrations.

**Practical Adoption Path:** The practical adoption path for Trends-MCP involves evaluating its feasibility through a small proof of concept and reviewing the README documentation. Once the project's license, security posture, and active maintainers are reviewed, developers can integrate it into their AI tools and applications. The project's high production readiness score suggests that it is suitable for a serious pilot, with recent activity, adoption, and ecosystem signals indicating its stability and reliability.

**Production Readiness:** Trends-MCP has a high production readiness score, indicating that it is suitable for production use. The project has recent activity, adoption, and ecosystem signals that suggest

Problem

trendsmcp-ai/Trends-MCP helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

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, Cursor, VS Code, GitHub Copilot, ChatGPT, Windsurf, Cline, Raycast and any MCP-compatible.

Source