SlopWatch

This MCP server provides AI accountability tracking by monitoring what AI assistants claim to implement versus what they actually deliver, built by JoodasCode using Node.js with the Model Context Protocol SDK. The implementation offers tools for registering implementation claims with file content snapshots, verifying actual changes through content analysis and keyword matching, and generating .cursorrules files to enforce accountability workflows in development environments. Built with crypto-based file hashing, confidence scoring algorithms, and minimal response formatting, it serves developers wanting to track AI coding accuracy, teams requiring verification of AI-generated implementations, and organizations needing automated accountability measures for AI-assisted development workflows.

Source

Repository: https://github.com/joodascode/slopwatch