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server-run-commands

by anton-107

Utilitiescommand executionlocal OSClaude Desktopautomation

This MCP server allows you to run commands on the local operating system. It's designed to be used with tools like Claude Desktop to extend their capabilities.

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What is server-run-commands?

The server-run-commands is an MCP (Model Context Protocol) server that enables the execution of commands on the local operating system. It acts as a bridge between a Large Language Model (LLM) and the underlying OS, allowing the LLM to trigger and interact with system-level functions.

How to use server-run-commands?

  1. Clone the repository: git clone https://github.com/anton-107/server-run-commands.git. 2. Navigate to the directory: cd server-run-commands. 3. Install dependencies: npm install. 4. Build the server: npm run build. 5. Configure Claude Desktop by adding the server configuration to your claude_desktop_config.json file, specifying the path to the local Node executable and the built server directory.

Key features of server-run-commands

  • Executes commands on the local OS

  • Returns process exit code to the LLM

  • Returns stdout to the LLM

  • Integrates with Claude Desktop via MCP

Use cases of server-run-commands

  • Automating system tasks through LLM prompts

  • Retrieving system information programmatically

  • Executing scripts based on LLM analysis

  • Integrating external tools with LLMs

FAQ from server-run-commands

What is MCP?

MCP stands for Model Context Protocol. It's a protocol that allows LLMs to interact with external tools and services.

What kind of commands can I run?

You can run any command that your user account has permission to execute on the local operating system.

Is this secure?

Executing arbitrary commands can be risky. Ensure you trust the source of the commands being executed and implement appropriate security measures.

Can I use this with other LLMs besides Claude Desktop?

While designed for Claude Desktop, the MCP server can potentially be adapted for use with other LLMs that support the Model Context Protocol.

What happens if a command fails?

The server returns the process exit code to the LLM, allowing the LLM to handle errors appropriately.