Command Executor MCP Server

The Sunwood AI Labs Command Executor MCP Server is a lightweight, secure bridge that lets AI assistants such as Claude run a curated set of system commands directly from the chat interface. Instead of exposing raw shell access, it enforces a whitelist of approved commands—by default , , , , , , and —and rejects any request that falls outside this list. This design protects the host environment from accidental or malicious code execution while still granting developers the flexibility to automate routine tasks, run scripts, or query repository status from within an AI workflow.

At its core, the server implements a single tool named . When invoked, it receives a plain‑text command string, validates the leading keyword against the allowed list, and spawns the process without invoking a shell. Output is streamed back to the client in real time, allowing the assistant to present live progress or capture logs. The tool’s response is wrapped in a standard MCP content array, ensuring compatibility with any MCP‑compliant client. Error handling is robust: unauthorized commands trigger a clear error, while execution failures return an explicit message and the flag so that the assistant can surface meaningful feedback to the user.

Developers benefit from the server’s tight integration with Claude Desktop. By adding a simple JSON entry to the file, the assistant can discover and invoke the command executor without additional configuration. Because communication occurs over , any existing MCP pipeline—be it a local desktop client or a cloud‑hosted orchestration layer—can incorporate the executor seamlessly. The environment can be further constrained by setting the variable, allowing teams to tailor permissions per deployment or project.

Typical use cases include CI/CD automation, where an assistant can run or in response to user prompts; development tooling, such as launching a Python REPL or building a Docker image with ; and data‑science workflows that require executing Jupyter notebooks or shell scripts. The real‑time streaming capability is especially valuable for long-running operations, enabling the assistant to report progress and handle cancellations gracefully.

What sets this MCP server apart is its combination of security, simplicity, and transparency. By eschewing shell invocation and enforcing a strict command prefix check, it mitigates injection risks that plague many command‑execution interfaces. The server’s TypeScript foundation and adherence to the MCP SDK mean it can be audited, extended, or replaced with minimal friction. For teams that need controlled command execution within an AI‑driven development environment, the Sunwood AI Labs Command Executor offers a ready‑made, battle‑tested solution that balances power with safety.