How I Organized 75+ Coding Projects in Minutes: The Claude MCP Technique Every Developer Needs

I believe you are familiar with this scenario: You’ve accumulated dozens of coding projects over months — some maintained on GitHub, others lurking only on your local machine. Keeping track of what exists where became increasingly difficult as your collection grows. This disorganization makes it challenging to prioritize which projects to continue developing and which to archive.

Happy Times ahead, thanks to MCP

I recently used anthropic’s model context protocol to analyze my development folder and create a comprehensive overview of my projects. This automation saved me hours of manual work while providing valuable insights into my development history.

The Challenge: Project Overload

My development folder had ballooned to over 75 projects spanning multiple technologies and purposes. I needed to understand:

• Which projects were Git-enabled vs. standalone local experiments
• Which projects existed on GitHub vs. only on my machine
• The purpose and technology stack of each project
• How to categorize projects to better understand my past coding interests