Analyze Python code for quality and security risks. Generate detailed reports with actionable recommendations to improve code performance and maintain best practices.
Execute Python code or scripts directly within the Code MCP Server, enabling integration with VS Code via the Model Context Protocol. Supports custom arguments and virtual environments.
Analyzes Python code for security vulnerabilities like SQL injection and command injection. Provides actionable insights to enhance code security and prevent risks in Python applications.
Execute Python code in a secure sandbox with context-aware enhancements for tasks like data science, automation, and testing using built-in preferences on Gemini.
Enables execution of Python code in a safe environment, including running scripts, installing packages, and retrieving variable values. Supports file operations and package management through pip.
Enables comprehensive security vulnerability scanning and code quality analysis for Python applications. Provides detailed reports with scoring, actionable suggestions, and comparison tracking specifically designed for backend developers working with frameworks like Django, Flask, and FastAPI.
Turns AI assistants into full-stack software engineers with 36 tools for cognitive reasoning, code validation, project scaffolding, and AI/IDE configuration generation across 130+ programming languages, databases, and frameworks.