Google Trends Explorer
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Visualizes Google Trends data via a Next.js web interface and exposes it as a tool for AI agents through an MCP server.
About
This project offers a dual approach to exploring Google Trends. It features a user-friendly Next.js web application for visualizing the last 12 months of relative interest for search terms. Simultaneously, it provides a Model Context Protocol (MCP) server that exposes the same trend data as a connectable tool for OpenAI or any MCP-compatible clients. Both components utilize SearchAPI.io to retrieve the underlying Google Trends information, enabling both direct interaction and programmatic integration for trend analysis.
Key Features
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- MCP server exposing Google Trends data as a tool for AI agents.
- Supports easy deployment to Render.com with health checks.
- Integrates with SearchAPI.io for retrieving trend data.
- Exposes a single `fetch_google_trends` tool over streamable HTTP.
- Next.js web interface for visualizing Google Trends data.
Use Cases
- Visually exploring search interest trends for specific terms via a web application.
- Integrating real-time Google Trends data into AI agents and language models.
- Programmatically fetching historical relative interest for search terms, geos, and categories.
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