Provides team analytics and insights from the Cursor Admin API to AI assistants via the Model Context Protocol.
Sponsored
Empowers AI assistants with deep insights into development team activities, usage, and spending within the Cursor environment. This Model Context Protocol (MCP) server acts as an X-ray vision for your AI, enabling it to answer critical questions about team rosters, coding productivity, AI credit consumption, and overall developer behavior without manual queries. It integrates seamlessly with AI assistants like Claude Desktop and Cursor IDE, providing instant access to team-level analytics to streamline operations and enhance productivity.
Key Features
01Instantly access team roster and member roles
020 GitHub stars
03Retrieve deep insights on developer tool usage and active periods
04Monitor AI usage analytics and activity patterns
05Analyze developer productivity metrics like lines added and AI acceptance rates
06Track AI credit consumption and spending trends
Use Cases
01Automate team status updates and performance inquiries via AI
02Monitor and manage AI spending and resource allocation across the team
03Analyze team member productivity and AI adoption rates to identify trends
