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 persistent sandbox environment with state retention between calls, enabling data analysis and multi-tool workflows through MCP server integration.
Provides comprehensive code analysis through three MCP servers: static analysis for code quality and security, dependency analysis for package management and vulnerabilities, and complexity analysis for maintainability assessment across multiple programming languages.
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.
Provides comprehensive statistical analysis tools for industrial data including time series analysis, correlation calculations, stationarity tests, outlier detection, causal analysis, and forecasting capabilities. Enables data quality assessment and statistical modeling through a FastAPI-based MCP architecture.