Run Python code in a stateful IPython kernel within a Docker container. Maintain variables, imports, and definitions across executions for iterative workflows. Supports async code with 'await' and sequential executions with shared kernel state.
Retrieve system details like OS version, kernel, hostname, and uptime from Linux systems. Supports local execution or remote SSH connections for diagnostics.
Retrieve basic system information including OS version, kernel, hostname, and uptime from local or remote Linux systems via SSH for diagnostics and monitoring.
Map compiled JavaScript code positions to original source code context using source maps, helping developers locate and fix issues by providing surrounding code lines.
A Model Context Protocol server that connects AI assistants with the Kernel platform, enabling them to deploy applications, automate web browsers, and manage cloud resources.
Analyzes source code dependencies across multiple programming languages in the specified directory to identify file relationships, assisting in dependency management and project structure understanding.