Skip to main content

Command-line MCP server for safe command execution

Project description

Command-Line MCP Server

PyPI version Python Versions License: MIT

A secure Model Control Protocol (MCP) server that allows AI assistants to execute terminal commands with controlled directory access and command permissions.

Overview

Command-Line MCP provides a security layer between AI assistants and your terminal. It implements a dual security model:

  1. Command Permissions: Commands are categorized as read (safe), write (changes data), or system (affects system state), with different approval requirements
  2. Directory Permissions: Commands can only access explicitly whitelisted directories or directories approved during a session

AI assistants interact with this server using standardized MCP tools, enabling safe terminal command execution while preventing access to sensitive files or dangerous operations. You can configure the security level from highly restrictive to more permissive based on your needs.

Key Features

Security Usability Integration
Directory whitelisting Command categorization (read/write/system) Claude Desktop compatibility
Command filtering Persistent session permissions Standard MCP protocol
Pattern matching Command chaining (pipes, etc.) Auto-approval options
Dangerous command blocking Intuitive approval workflow Multiple config methods

Supported Commands (out of the box)

Read Commands

  • ls, pwd, cat, less, head, tail, grep, find, which, du, df, file, sort, etc.

Write Commands

  • cp, mv, rm, mkdir, rmdir, touch, chmod, chown, etc.

System Commands

  • ps, top, htop, who, netstat, ifconfig, ping, etc.

Security Architecture

The system implements a multi-layered security approach:

┌───────────────────────────────────────────────────────────────┐
│                   COMMAND-LINE MCP SERVER                     │
├──────────────────┬────────────────────────┬───────────────────┤
│ COMMAND SECURITY │   DIRECTORY SECURITY   │ SESSION SECURITY  │
├──────────────────┼────────────────────────┼───────────────────┤
│ ✓ Read commands  │ ✓ Directory whitelist  │ ✓ Session IDs     │
│ ✓ Write commands │ ✓ Runtime approvals    │ ✓ Persistent      │
│ ✓ System commands│ ✓ Path validation      │   permissions     │
│ ✓ Blocked list   │ ✓ Home dir expansion   │ ✓ Auto timeouts   │
│ ✓ Pattern filters│ ✓ Subdirectory check   │ ✓ Desktop mode    │
└──────────────────┴────────────────────────┴───────────────────┘

All security features can be configured from restrictive to permissive based on your threat model and convenience requirements.

Quick Start

# Install
git clone https://github.com/yourusername/cmd-line-mcp.git
cd cmd-line-mcp
python -m venv venv
source venv/bin/activate
pip install -e .
cp config.json.example config.json

# Run
cmd-line-mcp                        # With default config
cmd-line-mcp --config config.json   # With specific config

Configuration Options

The server supports four configuration methods in order of precedence:

  1. Built-in default configuration (default_config.json)
  2. JSON configuration file (recommended for customization)
    cmd-line-mcp --config config.json
    
  3. Environment variables (for specific overrides)
    export CMD_LINE_MCP_SECURITY_WHITELISTED_DIRECTORIES="~,/tmp"
    
  4. .env file (for environment-specific settings)
    cmd-line-mcp --config config.json --env .env
    

The default configuration is stored in default_config.json and is included with the package. You can copy this file to create your own custom configuration.

Core Configuration Settings

{
  "security": {
    "whitelisted_directories": ["/home", "/tmp", "~"],
    "auto_approve_directories_in_desktop_mode": false, 
    "require_session_id": false,
    "allow_command_separators": true
  },
  "commands": {
    "read": ["ls", "cat", "grep"], 
    "write": ["touch", "mkdir", "rm"],
    "system": ["ps", "ping"]
  }
}

Environment Variable Format

Environment variables use a predictable naming pattern:

CMD_LINE_MCP_<SECTION>_<SETTING>

Examples:

# Security settings
export CMD_LINE_MCP_SECURITY_WHITELISTED_DIRECTORIES="/projects,/var/data"
export CMD_LINE_MCP_SECURITY_AUTO_APPROVE_DIRECTORIES_IN_DESKTOP_MODE=true

# Command additions (these merge with defaults)
export CMD_LINE_MCP_COMMANDS_READ="awk,jq,wc"

Claude Desktop Integration

Setup

  1. Install Claude for Desktop
  2. Configure in ~/Library/Application Support/Claude/claude_desktop_config.json:
{
  "mcpServers": {
    "cmd-line": {
      "command": "/path/to/venv/bin/cmd-line-mcp",
      "args": ["--config", "/path/to/config.json"],
      "env": {
        "CMD_LINE_MCP_SECURITY_REQUIRE_SESSION_ID": "false",
        "CMD_LINE_MCP_SECURITY_AUTO_APPROVE_DIRECTORIES_IN_DESKTOP_MODE": "true"
      }
    }
  }
}

Recommended Claude Desktop Settings

For best experience, configure:

  • require_session_id: false - Essential to prevent approval loops
  • auto_approve_directories_in_desktop_mode: true - Optional for convenient access
  • Include common directories in your whitelist

After configuration, restart Claude for Desktop.

AI Assistant Tools

The server provides these MCP tools for AI assistants:

Tool Purpose Needs Approval
execute_command Run any command type Yes, for write/system commands
execute_read_command Run read-only commands Directory approval only
approve_directory Grant access to a directory N/A - it's an approval tool
approve_command_type Grant permission for command category N/A - it's an approval tool
list_directories Show authorized directories No
list_available_commands Show command categories No
get_command_help Get command usage guidance No
get_configuration View current settings No

Tool Examples

Directory Management

# Check available directories
dirs = await list_directories(session_id="session123")
whitelisted = dirs["whitelisted_directories"]
approved = dirs["session_approved_directories"]

# Request permission for a directory
if "/projects/my-data" not in whitelisted and "/projects/my-data" not in approved:
    result = await approve_directory(
        directory="/projects/my-data", 
        session_id="session123"
    )

Command Execution

# Read commands (read permissions enforced)
result = await execute_read_command("ls -la ~/Documents")

# Any command type (may require command type approval)
result = await execute_command(
    command="mkdir -p ~/Projects/new-folder", 
    session_id="session123"
)

Get Configuration

# Check current settings
config = await get_configuration()
whitelist = config["directory_whitelisting"]["whitelisted_directories"]

Directory Security System

The server restricts command execution to specific directories, preventing access to sensitive files.

Directory Security Modes

The system supports three security modes:

Mode Description Best For Configuration
Strict Only whitelisted directories allowed Maximum security auto_approve_directories_in_desktop_mode: false
Approval Non-whitelisted directories require explicit approval Interactive use Default behavior for standard clients
Auto-approve Auto-approves directories for Claude Desktop Convenience auto_approve_directories_in_desktop_mode: true

Whitelisted Directory Configuration

"security": {
  "whitelisted_directories": [
    "/home",                  // System directories
    "/tmp",
    "~",                      // User's home
    "~/Documents"             // Common user directories
  ],
  "auto_approve_directories_in_desktop_mode": false  // Set to true for convenience
}

Directory Approval Flow

  1. Command is requested in a directory
  2. System checks:
    • Is the directory in the global whitelist? → Allow
    • Has directory been approved in this session? → Allow
    • Neither? → Request approval
  3. After approval, directory remains approved for the entire session

Path Format Support

  • Absolute paths: /home/user/documents
  • Home directory: ~ (expands to user's home)
  • User subdirectories: ~/Downloads

Claude Desktop Integration

The server maintains a persistent session for Claude Desktop, ensuring directory approvals persist between requests and preventing approval loops.

Command Customization

The system uses command categorization to control access:

Category Description Example Commands Requires Approval
Read Safe operations ls, cat, find No
Write Data modification mkdir, rm, touch Yes
System System operations ps, ping, ifconfig Yes
Blocked Dangerous commands sudo, bash, eval Always denied

Customization Methods

// In config.json
{
  "commands": {
    "read": ["ls", "cat", "grep", "awk", "jq"],
    "write": ["mkdir", "touch", "rm"],
    "system": ["ping", "ifconfig", "kubectl"],
    "blocked": ["sudo", "bash", "eval"]
  }
}

Environment Variable Method:

# Add to existing lists, not replace (comma-separated)
export CMD_LINE_MCP_COMMANDS_READ="awk,jq"
export CMD_LINE_MCP_COMMANDS_BLOCKED="npm,pip"

The MCP server merges these additions with existing commands, letting you extend functionality without recreating complete command lists.

Command Chaining

The server supports three command chaining methods:

Method Symbol Example Config Setting
Pipes | ls | grep txt allow_command_separators: true
Sequence ; mkdir dir; cd dir allow_command_separators: true
Background & find . -name "*.log" & allow_command_separators: true

All commands in a chain must be from the supported command list. Security checks apply to the entire chain.

Quick Configuration:

"security": {
  "allow_command_separators": true  // Set to false to disable all chaining
}

To disable specific separators, add them to the dangerous_patterns list.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cmd_line_mcp-0.5.0.tar.gz (36.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cmd_line_mcp-0.5.0-py3-none-any.whl (23.3 kB view details)

Uploaded Python 3

File details

Details for the file cmd_line_mcp-0.5.0.tar.gz.

File metadata

  • Download URL: cmd_line_mcp-0.5.0.tar.gz
  • Upload date:
  • Size: 36.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for cmd_line_mcp-0.5.0.tar.gz
Algorithm Hash digest
SHA256 17573791295e945ca76fe665f00ca30c723e4116d53b74feb286bb6f51efefc3
MD5 5953f61eb45c710550c4514eb6ee1bc1
BLAKE2b-256 ad74cf88891e6f752d27263419f8123046c234f4f6c62be9ecfbb6d6d8753ad7

See more details on using hashes here.

File details

Details for the file cmd_line_mcp-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: cmd_line_mcp-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 23.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for cmd_line_mcp-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d7c242f39024dd7b4b4c53a332f59e01c18b0b4bba5ac8fbf4bf551af3e297e4
MD5 dd17fd27c8f5cf164282c393069d9b8d
BLAKE2b-256 952a0a868595f60b245e15ea23ec5a612e6ce3eb756e13bd05d29f428df53f40

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page