A comprehensive tutorial demonstrating how to build a custom MCP (Message Control Protocol) server to extend Cursor Composer's functionality. The author provides both a video walkthrough and open-source repository to help developers implement practical and advanced features beyond the basic examples in the official documentation.
Build a custom MCP server for Cursor Composer that extends its functionality beyond basic features. The server should: 1. Implement practical and useful features that demonstrate the full potential of MCP integration 2. Be designed for real-world development scenarios 3. Provide clear integration points with the Cursor Composer agent
Focus on implementing practical, useful functionality rather than trivial examples
Provide open source access to implementation examples
Don't use oversimplified examples that don't showcase real practical value
A developer shares their experience improving Cursor AI's code completion quality using structured YAML-based project rules. The post details how implementing reasoning-focused prompts in .cursorrule files has led to more precise and consistent code suggestions, particularly for the TALL stack, with potential adaptability for other tech stacks.
A user compares Cursor's Chat and Composer features, noting key differences in multi-file editing capabilities and real-time code changes. The post questions the overlap between these features and seeks clarification on their future direction, highlighting documentation gaps and UI considerations.
A developer created a web-based tool that automatically generates Cursor rules by crawling documentation websites to help LLMs better understand new or updated libraries. The tool specifically addresses the challenge of LLM knowledge cutoffs for newer technologies like Svelte 5 and Cloudflare Workflows, producing customized prompts that can be selectively applied in Cursor's rule system.
A developer shares their solution to address Cursor AI's hallucination issues when generating React components with Supabase integration using a Model Context Protocol (MCP) server. The approach provides real-time schema information and type constraints to the AI, resulting in more accurate code generation and improved handling of database relationships and policies.
A detailed comparison of three major AI coding tools (Bolt, v0, and Cursor) based on hands-on experience. The analysis covers each tool's strengths, limitations, and ideal use cases, with particular focus on their applicability for different skill levels and project types. The post emphasizes the importance of actual coding skills while leveraging AI tools for enhanced productivity.