It connects Cursor and other tools to the CodeAlive platform, enriching your projects context with deep codebase knowledge. Benefit from precise code retrieval, enhanced comprehension of your projects, and streamlined workflows through semantic search.

Recently, I launched cursor-rules-cli, a tool to boilerplate Cursor rules for your project. Using repomix, you can generate better Project Structure rules for your codebase. https://www.npmjs.com/package/@gabimoncha/cursor-rules

Want to simply ask one "create an article page with fancy layout" and AI get all details from you? Want the AI clarify the complex request from you if it get confused? This MCP Server is for you!

Hi! Deebo is an agentic debugging system wrapped in an MCP server. If you think of your main coding agent as a single threaded process, Deebo adds multithreading to your AI coding workflow. You can have your agent delegate tricky bugs, context-heavy tasks, etc to Deebo! It’s fully open source, extremely simple (the entire codebase fits in one ChatGPT prompt!), and uses git branches for isolation. Code: https://github.com/snagasuri/deebo-prototype. Happy to help with any setup issues!

Features API Resource Discovery: Get all available API resources in your Kubernetes cluster Resource Listing: List resources of any type with optional namespace and label filtering Resource Details: Get detailed information about specific Kubernetes resources Resource Description: Get comprehensive descriptions of Kubernetes resources Standardized Interface: Uses the MCP protocol for consistent tool interaction Flexible Configuration: Supports different Kubernetes contexts and resource scopes