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Super Shell MCP Server

MCP Server

Secure cross‑platform shell execution via Model Context Protocol

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Updated 16 days ago

About

Super Shell MCP Server enables secure, platform‑agnostic execution of shell commands through the Model Context Protocol. It automatically detects the operating system, applies whitelisting and approval workflows, logs activity, and offers a one‑click Claude Desktop extension.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MseeP.ai Security Assessment Badge

Overview

Super Shell MCP Server is a cross‑platform tool that exposes shell execution capabilities over the Model Context Protocol (MCP). It bridges AI assistants—such as Claude—to native operating‑system shells, allowing the assistant to run commands on Windows, macOS, or Linux without leaving its conversational context. This solves the long‑standing problem of safely invoking low‑level system operations from an AI, providing a single, auditable entry point that respects platform differences and security policies.

The server automatically detects the host OS and selects an appropriate shell (cmd.exe or PowerShell on Windows; zsh, bash, or sh on macOS and Linux). Commands are routed through a configurable whitelist that categorizes each command into Safe, Requires Approval, or Forbidden. This granular control lets developers define which operations are permissible out of the gate, while still offering an interactive approval workflow for potentially risky actions. The result is a secure, least‑privilege execution model that mitigates accidental or malicious misuse.

Key capabilities include:

  • Platform‑agnostic command execution: One MCP interface that works on Windows, macOS, and Linux without extra configuration.
  • Fine‑grained security: Multi‑tier whitelisting, per‑platform lists, and an approval prompt for non‑trusted commands.
  • Non‑blocking approval flow: The AI can request permission and continue other tasks while waiting for human confirmation.
  • Comprehensive logging: File‑based logs capture every command, its outcome, and any approvals, providing traceability for audits.
  • Diagnostic tools: A built‑in platform information command helps developers verify environment details during debugging.
  • Easy integration: The server can be deployed as a one‑click Claude Desktop extension or run manually via npm, making it flexible for both non‑technical users and developers who prefer custom setups.

Typical use cases span automated deployment pipelines, remote system administration, data processing scripts, and interactive troubleshooting. For example, a developer can ask the AI to pull the latest code, run unit tests, and deploy to a staging environment—all through shell commands that are vetted by the server’s whitelist. In security‑sensitive contexts, the approval mechanism ensures that destructive commands (e.g., ) never execute without explicit human consent.

By encapsulating shell access behind MCP, Super Shell offers a secure, auditable, and developer‑friendly bridge between conversational AI and the underlying operating system. Its blend of cross‑platform support, granular security controls, and seamless integration makes it a standout choice for teams looking to harness AI assistance while maintaining operational safety.