Terminal Control MCP
Enables AI agents to interact with terminal-based TUI applications by capturing visual terminal output as PNG screenshots and simulating keyboard input through a virtual X11 display.
README
Terminal Control MCP
A Model Context Protocol (MCP) server that enables AI agents to interact with terminal-based TUI applications through a virtual X11 display approach.
Overview
This project provides a comprehensive solution for controlling terminal applications programmatically using:
- Xvfb for headless virtual X11 display
- xterm for terminal emulation
- xdotool for input simulation and window management
- ImageMagick for PNG screenshot capture
The system captures actual visual terminal output as PNG screenshots, making it ideal for AI agents that need to see and interact with terminal applications.
Features
- Virtual Display Management: Headless X11 display using Xvfb
- Input Simulation: Send keyboard input and text to terminal applications
- Screenshot Capture: Take PNG screenshots of terminal output
- Window Management: Reliable window detection and focus handling
- Resource Cleanup: Proper process management with timeout handling
System Requirements
The following system packages must be installed:
# Ubuntu/Debian
sudo apt-get install xvfb xterm xdotool imagemagick
# CentOS/RHEL/Fedora
sudo yum install xorg-x11-server-Xvfb xterm xdotool ImageMagick
Installation
This project uses the uv package manager:
# Clone the repository
git clone <repository-url>
cd terminal-control-mcp
# Install dependencies
uv sync
# Activate virtual environment
source .venv/bin/activate
Quick Start
Running the Example
Try the included htop example to see the system in action:
python examples/example_htop.py
This will:
- Launch htop in a virtual xterm session
- Press F3 to open the search dialog
- Type "python" as a search term
- Capture PNG screenshots at each step
- Clean up all processes
Basic Usage
from examples.example_htop import XTermSession
# Create a session
session = XTermSession(width=1920, height=1080)
try:
# Start virtual display and terminal
session.start_virtual_display()
session.start_xterm("your-command-here")
# Take a screenshot
session.take_screenshot("output.png")
# Send input
session.send_key("F1")
session.send_text("hello world")
finally:
session.cleanup()
Architecture
Core Components
-
XTermSession Class: The main interface for terminal control
- Manages Xvfb virtual display lifecycle
- Spawns and controls xterm processes
- Handles input simulation via xdotool
- Captures screenshots using ImageMagick
-
Virtual Display Approach: Unlike direct TTY manipulation, this system:
- Creates a real X11 environment with Xvfb
- Launches actual xterm instances
- Captures genuine visual output as PNG files
- Provides reliable input simulation
Key Methods
start_virtual_display(): Initialize Xvfb virtual displaystart_xterm(command): Launch xterm with specified commandsend_key(key): Send special keys (F1, Escape, etc.)send_text(text): Send alphanumeric text inputtake_screenshot(filename): Capture PNG screenshotcleanup(): Properly terminate all processes
Development
Project Structure
terminal-control-mcp/
├── src/terminal_control_mcp/ # Main MCP server implementation (planned)
├── examples/
│ ├── example_htop.py # Reference implementation
│ └── README.md
├── tests/ # Test suite
├── pyproject.toml # Project configuration
└── CLAUDE.md # Development guidelines
Development Commands
# Run the main application
python main.py
# Run the htop example
python examples/example_htop.py
# Activate virtual environment
source .venv/bin/activate
MCP Server Implementation (Planned)
The full MCP server will provide these tools:
terminal_launch: Start a new terminal sessionterminal_input: Send keyboard/text inputterminal_capture: Take PNG screenshotterminal_close: Clean up terminal session
Technical Details
Window Detection
The system uses multiple fallback strategies for reliable window ID detection:
search_methods = [
['xdotool', 'search', '--class', 'XTerm'],
['xdotool', 'search', '--name', 'xterm'],
['xdotool', 'search', '--class', 'xterm'],
['xdotool', 'getactivewindow']
]
Screenshot Capture
Uses ImageMagick's import command for reliable PNG capture:
subprocess.run(['import', '-window', 'root', filename], env=env)
Resource Management
Implements proper cleanup with timeout handling:
def cleanup(self):
if self.xterm_proc:
self.xterm_proc.terminate()
try:
self.xterm_proc.wait(timeout=5)
except subprocess.TimeoutExpired:
self.xterm_proc.kill()
Contributing
[TBD]
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.