Automate code reviews for GitHub pull requests using AI and static analysis tools. Fetch PR diffs, analyze code, execute tests, and generate detailed reports with inline comments for improved code quality.
Add dangerous code patterns to a security blacklist by providing file paths or code strings with severity ratings and reasons, enabling proactive threat prevention in the Code Firewall MCP server.
Enables AI assistants to maintain persistent project context across sessions by storing and retrieving structured information in markdown files organized in a memory bank directory.
Executes Python code in isolated rootless containers while proxying MCP server tools, reducing context overhead by 95%+ and enabling complex multi-tool workflows through sandboxed code execution.