"Understanding Cline Rules Automation" matching MCP connectors:

Put on anyone's AI rules by GitHub username: fetches their hat.md and its hat code.

Search, inspect and inject full source modules (code + AI rules + MCP) pinned to a Git commit.

Scan any public GitHub MCP-server repo for security issues. 37 MCP-specific L1 rules, 8 languages.

Git-native policy layer for AI agents: check_action verdicts against rules approved via PR.

GitHub security scanning, code audit, and workflow automation for repositories.

One memory for every AI you work with: your rules, notes and decisions in your own Git repo.

Business logic of your product for AI agents: rules, customer paths and what a change reaches