Managing configurations across different AI coding environments like Claude Desktop, Cursor, and Windsurf often leads to tedious boilerplate, syntax discrepancies, and fragile manual setups.

To solve this friction, I built and open-sourced Genesis , a web-based interactive builder that generates production-grade Model Context Protocol (MCP) configs and contextual .cursorrules in real time.

The Problem: Fragmented Protocol Configs & Agent Slop

When setting up AI assistants for production engineering work, developers typically encounter three recurring issues:

Client Discrepancies : Claude Desktop expects ~/.config/Claude/claude_desktop_config.json , while Cursor expects .cursor/mcp.json in the workspace root. Both require specific JSON schemas and argument structures.

Environment Contamination : Running local Python or Node servers often involves installing dependencies globally or wrestling with virtual environments.…