A robust MCP server that bridges AI systems to the host shell through the Model Context Protocol. Built on the official MCP SDK for Go (mark3labs/mcp-go), it exposes the system shell as a structured tool to enable autonomous workflows, tool-assisted reasoning, and real-world problem solving. The server runs in isolation by default via Docker, with a roadmap for optional jail mechanisms such as chroot, namespaces, and syscall-level confinement to improve security without relying solely on Docker. Security features include allowlists and blocklists with regex validation, configurable execution timeouts, and restricted working directories, paired with unprivileged user execution and resource limits. Output is returned in JSON, including stdout, stderr, exit codes, and execution metadata, with optional base64 encoding for binary data. It maintains an auditable execution trail, supports context cancellation, and offers full environment-driven configuration. The design emphasizes auditable, composable, and constrained command execution suitable for MCP-enabled architectures and AI-powered decision making.