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- mcp-terminal-server
Mcp Terminal Server
What is Mcp Terminal Server
mcp-terminal-server is a lightweight FastAPI server designed to run as a Windows service. It exposes an endpoint that allows users to execute shell commands and stream their output in real-time.
Use cases
Use cases include automating server management tasks, executing scripts remotely, monitoring system performance, and integrating with other applications that require command execution capabilities.
How to use
To use mcp-terminal-server, first ensure you have Windows and Python 3.7 or higher installed. Clone the repository, open PowerShell as Administrator, navigate to the project directory, and run the installation script. You can customize the installation with parameters such as API key, port, and log level.
Key features
Key features include running as a Windows service or in debug mode, executing shell commands with real-time output streaming, API key authentication, rate limiting, configurable settings via environment variables or configuration files, robust error handling, and automatic process restart on failure.
Where to use
mcp-terminal-server can be used in various fields such as system administration, DevOps, and application development, where there is a need to execute shell commands remotely and monitor their output.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Terminal Server
mcp-terminal-server is a lightweight FastAPI server designed to run as a Windows service. It exposes an endpoint that allows users to execute shell commands and stream their output in real-time.
Use cases
Use cases include automating server management tasks, executing scripts remotely, monitoring system performance, and integrating with other applications that require command execution capabilities.
How to use
To use mcp-terminal-server, first ensure you have Windows and Python 3.7 or higher installed. Clone the repository, open PowerShell as Administrator, navigate to the project directory, and run the installation script. You can customize the installation with parameters such as API key, port, and log level.
Key features
Key features include running as a Windows service or in debug mode, executing shell commands with real-time output streaming, API key authentication, rate limiting, configurable settings via environment variables or configuration files, robust error handling, and automatic process restart on failure.
Where to use
mcp-terminal-server can be used in various fields such as system administration, DevOps, and application development, where there is a need to execute shell commands remotely and monitor their output.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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
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.ps1
This 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 debug
Logs
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 --version
Configuration 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.json
Environment 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 command- Requires API key in
X-API-Key
header - Request body:
{"command": "your command"}
- Returns streaming response with command output
- Requires API key in
-
GET /health
: Check server health- Returns
{"status": "healthy", "active_sessions": 0}
- Returns
Security Considerations
- Always change the default API key in production
- Restrict the host to
127.0.0.1
if the server should only be accessible locally - Consider 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 debug
- Verify the service is running:
Get-Service -Name "MCP_Terminal_Server"
- Check Windows Event Viewer for service-related errors
License
MIT
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.