Bolstering Claude Code: A Personal Development Environment Configuration Guide
Introduction This guide walks through my personal Claude Code configuration, enhanced with multiple Model Context Protocol (MCP) servers that integrate with various tools and data sources. While this represents my specific setup, it’s designed to be adaptable for any developer who wants to boost their AI-assisted development workflows. Yes, it was authored largely by Claude, but reviewed by me. What You’ll Learn How to configure Claude Code for enterprise use Setting up essential MCPs (Memory, Filesystem, Tavily) Integrating enterprise-specific MCPs (Atlassian, cloud cost management) Practical examples of using MCPs together for real workflows My dotfiles and configuration management approach with YADM Prerequisites Claude Code installed (official installation guide) Basic terminal/command-line proficiency Node.js/npm installed (for some MCPs) Part 1: Claude Code Installation & Configuration Installing Claude Code # Install Claude Code via npm npm install -g @anthropic-ai/claude-code If you’re using an enterprise LLM gateway or proxy, add the following to your shell configuration (e.g., ~/.zshrc): ...