mcpField
M
MCP Terminal Server

MCP Terminal Server

Local
github.com/cwmoore-aiDeveloper Tools1Updated 79w ago

About MCP Terminal Server

MCP Terminal Server is a FastAPI service for running shell commands and streaming their output, aimed at workflows that need remote command execution. It can run as a Windows service and includes API-key authentication, rate limiting, and restart-on-failure.

Key features

  1. 01Run as a Windows service or in debug mode
  2. 02Execute shell commands with streamed output
  3. 03API-key authentication and rate limiting
  4. 04Configure through environment variables or a file
  5. 05Restart the process after failures

Use cases

  1. 01Submit commands from a client and inspect live output
  2. 02Run command execution as a Windows service
  3. 03Check service status through the health endpoint

MCP support

The README describes an HTTP API for command execution and health checks, but does not specify an MCP protocol interface or MCP client integration.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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
  1. Clone this repository or download the source code
  2. Open PowerShell as Administrator
  3. Navigate to the project directory
  4. 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:

  1. Environment variables
  2. Configuration file (config.json)
  3. 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 authentication
  • MCP_HOST: Host address to bind to
  • MCP_PORT: Port number for the server
  • MCP_LOG_LEVEL: Log level
  • MCP_LOG_FILE: Path to log file
  • MCP_MAX_LOG_SIZE_MB: Maximum log file size in MB
  • MCP_LOG_BACKUP_COUNT: Number of log backup files to keep
  • MCP_RESTART_ON_FAILURE: Whether to restart the server on failure
  • MCP_MAX_RESTART_ATTEMPTS: Maximum number of restart attempts
  • MCP_RESTART_DELAY_SECONDS: Delay between restart attempts
  • MCP_SHUTDOWN_TIMEOUT_SECONDS: Timeout for graceful shutdown
  • MCP_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 authentication
  • MCP_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
  • GET /health: Check server health

    • Returns {"status": "healthy", "active_sessions": 0}

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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.