mkusaka mcp shell server

mkusaka mcp shell server avatar

by mkusaka

What is mkusaka mcp shell server

MCP Shell Server

A server that uses the Model Context Protocol (MCP) to execute shell commands. It functions as a bridge that allows AI agents to safely execute shell commands.

Features

  • Execute shell commands (single-line and multi-line support)
  • Support for various shells (bash, zsh, fish, powershell, cmd, etc.)
  • Detailed error handling and logging
  • MCP Inspector compatible

Installation

From npm (as a user)

# Using npm
npm install -g @mkusaka/mcp-shell-server

# Using yarn
yarn global add @mkusaka/mcp-shell-server

# Using pnpm
pnpm add -g @mkusaka/mcp-shell-server

From source (for development)

# Clone the repository
git clone https://github.com/mkusaka/mcp-shell-server.git
cd mcp-shell-server

# Install dependencies
pnpm install

# Build the project
pnpm build

MCP Configuration

Cursor Configuration

Add the following to your Cursor configuration file (~/.cursor/config.json):

{
  "mcpServers": {
    "shell": {
      "command": "npx",
      "args": ["-y", "@mkusaka/mcp-shell-server"]
    }
  }
}

Cline Integration

Cline is a VS Code extension that allows you to use MCP servers with Claude AI. To set up this MCP shell server with Cline:

  1. Open your Cline MCP settings file:

    • macOS: ~/Library/Application Support/claude-code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
    • Windows: %APPDATA%/claude-code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
    • Linux: ~/.config/claude-code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
  2. Add the shell server MCP configuration:

    {
      "mcpServers": {
        "shell": {
          "command": "npx",
          "args": ["-y", "@mkusaka/mcp-shell-server"],
          "disabled": false,
          "autoApprove": []
        }
      }
    }
    

    Alternatively, if you want to use a locally installed package:

    {
      "mcpServers": {
        "shell": {
          "command": "node",
          "args": ["/path/to/mcp-shell-server/dist/index.js"],
          "disabled": false,
          "autoApprove": []
        }
      }
    }
    

Rule Configuration

Add the following to your AI assistant's rules or prompt:

You have MCP Shell tools at your disposal. Follow these rules regarding Shell tool usage:
1. ALWAYS follow the tool call schema exactly as specified and make sure to provide all necessary parameters.
2. **NEVER refer to tool names when speaking to me.** For example, instead of saying 'I need to use the shell_exec tool to run this command', just say 'I'll run that command for you'.
3. Only use Shell tools when they are necessary. If my task is general or you already know the answer, just respond without calling tools.
4. When I ask you to execute shell commands, use the appropriate tool to:
   - Run single-line commands
   - Run multi-line commands (using heredoc syntax when appropriate)
   - Execute file operations, git commands, or system utilities
   - Provide system information when relevant
5. Always be careful with shell commands that might modify the system, and explain what the command will do before executing it.
6. If a shell command produces an error, explain what went wrong in simple terms and suggest ways to fix it.

Usage

Direct Execution

node dist/index.js
# or as an executable
./dist/index.js

Development Mode

pnpm dev

Testing with MCP Inspector

pnpm inspect

Command Line Arguments

-s, --shell <shell>  Specify the path to the shell to use
-w, --working-dir <directory>  Specify the working directory for command execution
-h, --help           Display help message
-V, --version        Display version information

Tool Reference

shell_exec

Executes commands in the specified shell.

Parameters:

  • command (string, required): The shell command to execute
  • workingDir (string, optional): The working directory to execute the command in. Must be under $HOME.

Resource Reference

The server provides the following system information as resources:

hostname

Returns the hostname of the system.

URI: hostname://

platform

Returns the operating system platform.

URI: platform://

shell

Returns the shell path being used by the server.

URI: shell://

username

Returns the current username.

URI: username://

system-info

Returns comprehensive system information in JSON format, including:

  • hostname
  • platform
  • shell
  • username
  • CPU count
  • Total memory
  • Free memory
  • System uptime

Usage Examples

Basic Command Execution

{
  "name": "shell_exec",
  "parameters": {
    "command": "echo Hello, World!"
  }
}

Multi-line Command (Heredoc) Execution

{
  "name": "shell_exec",
  "parameters": {
    "command": "cat << EOF | grep 'example'\nThis is an example text.\nAnother line without the keyword.\nEOF"
  }
}

Development

Project Structure

src/
├── index.ts                # Main entry point
└── shell-server/
    ├── index.ts            # Shell server implementation
    └── lib/
        └── logger.ts       # Logging configuration

Logging

Logs are written to the mcp-shell.log file.

License

MIT

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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