Provides a lightweight server implementation that exposes an endpoint to execute shell commands and stream their output in real-time.
Leverages Python 3.7+ to provide a Windows service that can execute commands with robust error handling, logging, and automatic process restart capabilities.
Enables remote execution of shell commands with streaming output, allowing for running and monitoring command-line operations through an authenticated API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Terminal Serverlist all files in the current directory"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Terminal Server
A lightweight FastAPI server that can run as a Windows service and exposes an endpoint to execute shell commands and stream their output.
Features
Run as a Windows service or in debug mode
Execute shell commands and stream their output in real-time
API key authentication
Rate limiting
Configurable via environment variables or configuration file
Robust error handling and logging
Automatic process restart on failure
Related MCP server: Shell MCP Server
Installation
Prerequisites
Windows operating system
Python 3.7 or higher
Administrator privileges (for service installation)
Install Steps
Clone this repository or download the source code
Open PowerShell as Administrator
Navigate to the project directory
Run the installation script:
.\install_service.ps1This will:
Install required Python dependencies
Generate a random API key (or use the one you provide)
Create a configuration file
Install and start the Windows service
Installation Options
You can customize the installation with the following parameters:
.\install_service.ps1 -ApiKey "your-api-key" -Port 8080 -Host "127.0.0.1" -LogLevel "debug"Available parameters:
-ApiKey: Custom API key for authentication-Port: Port number for the server (default: 8000)-Host: Host address to bind to (default: 0.0.0.0)-LogLevel: Log level (debug, info, warning, error, critical)-ConfigFile: Path to a custom configuration file
Configuration
The server can be configured through:
Environment variables
Configuration file (config.json)
Command-line arguments during installation
Configuration File
A sample configuration file (config.json.sample) is provided. You can copy this to config.json and modify it:
{
"host": "0.0.0.0",
"port": 8000,
"log_level": "info",
"log_file": "mcp_terminal_server.log",
"max_log_size_mb": 10,
"log_backup_count": 5,
"restart_on_failure": true,
"max_restart_attempts": 5,
"restart_delay_seconds": 10,
"shutdown_timeout_seconds": 30,
"working_directory": null
}Environment Variables
You can also configure the server using environment variables:
MCP_TERMINAL_API_KEY: API key for authenticationMCP_HOST: Host address to bind toMCP_PORT: Port number for the serverMCP_LOG_LEVEL: Log levelMCP_LOG_FILE: Path to log fileMCP_MAX_LOG_SIZE_MB: Maximum log file size in MBMCP_LOG_BACKUP_COUNT: Number of log backup files to keepMCP_RESTART_ON_FAILURE: Whether to restart the server on failureMCP_MAX_RESTART_ATTEMPTS: Maximum number of restart attemptsMCP_RESTART_DELAY_SECONDS: Delay between restart attemptsMCP_SHUTDOWN_TIMEOUT_SECONDS: Timeout for graceful shutdownMCP_WORKING_DIRECTORY: Working directory for the server
Service Management
Service Commands
The service can be managed using the following commands:
# Install the service
python service.py install
# Start the service
python service.py start
# Stop the service
python service.py stop
# Restart the service
python service.py restart
# Remove the service
python service.py remove
# Update the service configuration
python service.py update
# Run in debug mode (not as a service)
python service.py debugLogs
Logs are stored in the configured log file (default: mcp_terminal_server.log). The logs include:
Service start/stop events
Command execution
Errors and warnings
Health check results
API Usage
Test Client
A robust test client is provided to interact with the server with the following features:
Command-line arguments for better usability
API key authentication support
Colored output for better readability
Support for saving output to a file
Robust error handling and logging
Interactive mode with command history
Server health check functionality
Basic Usage
# Run a command
python test_client.py -c "dir" -k "your-api-key"
# Check server health
python test_client.py --health
# Interactive mode
python test_client.py -k "your-api-key"
# Save output to a file
python test_client.py -c "systeminfo" --save-output output.txt
# Specify server URL
python test_client.py -s "http://example.com:8000" -c "dir"
# Enable verbose output
python test_client.py -v -c "dir"
# Show version
python test_client.py --versionConfiguration File
The test client can be configured using a JSON configuration file. Create a client_config.json file based on the provided sample:
{
"server_url": "http://localhost:8000",
"api_key": "your-api-key-here",
"timeout": 60,
"verbose": false
}Then use it with:
python test_client.py --config client_config.jsonEnvironment Variables
The test client also supports configuration via environment variables:
MCP_TERMINAL_API_KEY: API key for authenticationMCP_TERMINAL_SERVER_URL: Server URL
API Endpoints
POST /run: Execute a commandRequires API key in
X-API-KeyheaderRequest body:
{"command": "your command"}Returns streaming response with command output
GET /health: Check server healthReturns
{"status": "healthy", "active_sessions": 0}
Security Considerations
Always change the default API key in production
Restrict the host to
127.0.0.1if the server should only be accessible locallyConsider using HTTPS in production
The server blocks potentially dangerous commands, but additional security measures may be needed
Troubleshooting
Check the log file for errors
Run in debug mode to see console output:
python service.py debugVerify the service is running:
Get-Service -Name "MCP_Terminal_Server"Check Windows Event Viewer for service-related errors
License
MIT