An MCP server that exposes Wikipedia page view trends as clean JSON, providing normalized 0-100 trend scores, growth rates over 3M/6M/12M/5Y windows, and live most-viewed article feeds, comparable across 15 sources including Google, YouTube, and TikTok.
MCP server that helps discover and rank libraries from awesome lists by tech stack and category, using a state-machine workflow to find relevant sections and present ranked repos.
Enables users to resolve server names, discover servers via taxonomy, and look up trust ratings for MCP servers through the MCPLookup independent trust layer.
An MCP server for researching YouTube niches. It searches videos, fetches metadata, calculates engagement metrics, downloads thumbnails, and produces aggregate niche statistics for analysis.