The Cleanup Crew MCP Server

Introduction

Cleanup Crew's MCP server provides a seamless bridge between AI coding assistants and human expert support. When AI tools like Cursor, Copilot, or Claude Code reach their limits, this server enables developers to instantly request help from expert developers who are available 24/7.

The server focuses on capturing comprehensive context automatically, including conversation history, workspace state, diagnostics, and project details. This ensures that when human experts take over, they have all the necessary information to provide effective assistance without requiring developers to manually explain their entire situation.

Cleanup Crew specializes in solving complex coding challenges that AI assistants struggle with, such as multi-file reasoning, runtime debugging, architecture decisions, and integration issues. Their expert developers provide real-time support through Discord channels with response times ranging from 15-60 minutes depending on the subscription tier.

Use Cases

Complex Multi-File Debugging When dealing with intricate bugs that span multiple files and require understanding of complex system interactions that AI tools can't fully grasp.

Sample prompt: I have a React app where user authentication is failing intermittently, and the issue seems to involve the interaction between my JWT middleware, Redux store, and several React components. My AI assistant can't trace the issue across all these files - can you help debug this?

Runtime Error Investigation For production errors and exceptions that require deep system knowledge and debugging expertise beyond what AI coding assistants can provide.

Sample prompt: My Node.js API is throwing memory leak errors in production but works fine locally. I've tried several AI-suggested fixes but the issue persists. The error occurs in our payment processing module and I need expert help to identify the root cause.

Architecture Decision Support When facing critical technical decisions about system architecture, technology choices, or implementation strategies that require experienced human judgment.

Sample prompt: I'm building a real-time chat application and need to decide between WebSockets, Server-Sent Events, or a third-party service like Pusher. My AI tools give generic advice but I need expert guidance considering my specific requirements for scalability and cost.

Legacy Code Integration For challenges involving integration with legacy systems, outdated dependencies, or complex migration scenarios that AI tools struggle to understand.

Sample prompt: I need to integrate my modern React frontend with a legacy PHP API that uses custom authentication. The documentation is incomplete and my AI assistant keeps suggesting approaches that don't work with this older system architecture.

Performance Optimization Issues When applications have performance bottlenecks that require expert analysis and optimization strategies beyond basic AI recommendations.

Sample prompt: My database queries are causing significant slowdowns in my app, and I've implemented the basic optimizations my AI suggested, but performance is still poor. I need an expert to review my database schema and query patterns to identify the real issues.

DevOps and Deployment Problems For complex deployment, CI/CD, or infrastructure issues that require hands-on expertise and real-time troubleshooting.

Sample prompt: My Docker containers are failing to deploy on AWS ECS with cryptic error messages. I've followed AI-generated solutions but nothing works. I need someone to walk through the deployment process with me and identify what's going wrong.