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MCP Command Server

by Andrew-Beniash

A secure Model Context Protocol (MCP) server designed for executing system commands through LLM applications like Claude. It provides a controlled and auditable way to interact with the system.

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What is MCP Command Server?

The MCP Command Server is a secure server that allows LLM applications, such as Claude, to execute system commands in a controlled environment. It utilizes the Model Context Protocol (MCP) to facilitate communication and ensures security through whitelisting, user confirmation, and audit logging.

How to use MCP Command Server?

To use the MCP Command Server, first install the package using uv pip install mcp-command-server. Then, configure the allowed commands by setting the ALLOWED_COMMANDS environment variable. Finally, integrate the server into your Claude Desktop configuration by adding a new entry to the mcpServers section, specifying the command to run the server and the environment variables.

Key features of MCP Command Server

  • Secure command execution with whitelist

  • User confirmation for all commands

  • Comprehensive audit logging

  • Input validation and sanitization

  • Claude Desktop integration

Use cases of MCP Command Server

  • Executing system commands from LLM applications

  • Automating tasks through LLM interactions

  • Providing a secure interface for LLMs to interact with the system

  • Auditing and logging command execution for security purposes

FAQ from MCP Command Server

What is MCP?

MCP stands for Model Context Protocol. It's a protocol for secure communication between LLMs and external systems.

How do I add more allowed commands?

You can add more allowed commands by updating the ALLOWED_COMMANDS environment variable with a comma-separated list of commands.

Is the server secure?

Yes, the server is designed with security in mind. It uses a whitelist of allowed commands, requires user confirmation, and performs input validation.

Where can I find more documentation?

You can find more documentation in the docs/ directory of the repository, including installation guides, security guidelines, and API references.

How do I contribute to the project?

You can contribute by forking the repository, creating a feature branch, running tests, and submitting a pull request.