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    Mcp Console Automation

    MCP server for AI-driven console application automation and monitoring

    3 stars
    TypeScript
    Updated Oct 8, 2025

    Table of Contents

    • Production Status ✅
    • Features
    • 🚀 Core Capabilities
    • 🔐 SSH & Remote Connections
    • ✅ Test Automation Framework
    • 🔄 Background Job Execution
    • 📊 Enterprise Monitoring & Alerts
    • 📁 Profile Management
    • 🔍 Advanced Output Processing
    • Quick Installation
    • Windows (PowerShell as Administrator)
    • macOS/Linux
    • Manual Installation
    • Configuration
    • For Claude Desktop
    • For other MCP clients
    • Available Tools (40 Total)
    • 📚 Complete Documentation
    • Tool Categories
    • 🖥️ Session Management (9 tools)
    • ⚡ Command Execution (6 tools)
    • 📊 Monitoring & Alerts (6 tools)
    • 📁 Profile Management (4 tools)
    • 🔄 Background Jobs (9 tools)
    • ✅ Test Automation (6 tools)
    • Quick Start Examples
    • Create a Local Session
    • Connect via SSH
    • Run Tests with Assertions
    • Background Job Execution
    • Use Cases
    • 1. Running and monitoring a development server
    • 2. Interactive debugging session
    • 3. Automated testing with error detection
    • 4. Interactive CLI tool automation
    • Error Detection Patterns
    • Development
    • Building from source
    • Running in development mode
    • Running tests
    • Type checking
    • Linting
    • Architecture
    • Core Components
    • Requirements
    • Testing
    • Troubleshooting
    • Common Issues
    • Contributing
    • License
    • Support
    • Roadmap

    Table of Contents

    • Production Status ✅
    • Features
    • 🚀 Core Capabilities
    • 🔐 SSH & Remote Connections
    • ✅ Test Automation Framework
    • 🔄 Background Job Execution
    • 📊 Enterprise Monitoring & Alerts
    • 📁 Profile Management
    • 🔍 Advanced Output Processing
    • Quick Installation
    • Windows (PowerShell as Administrator)
    • macOS/Linux
    • Manual Installation
    • Configuration
    • For Claude Desktop
    • For other MCP clients
    • Available Tools (40 Total)
    • 📚 Complete Documentation
    • Tool Categories
    • 🖥️ Session Management (9 tools)
    • ⚡ Command Execution (6 tools)
    • 📊 Monitoring & Alerts (6 tools)
    • 📁 Profile Management (4 tools)
    • 🔄 Background Jobs (9 tools)
    • ✅ Test Automation (6 tools)
    • Quick Start Examples
    • Create a Local Session
    • Connect via SSH
    • Run Tests with Assertions
    • Background Job Execution
    • Use Cases
    • 1. Running and monitoring a development server
    • 2. Interactive debugging session
    • 3. Automated testing with error detection
    • 4. Interactive CLI tool automation
    • Error Detection Patterns
    • Development
    • Building from source
    • Running in development mode
    • Running tests
    • Type checking
    • Linting
    • Architecture
    • Core Components
    • Requirements
    • Testing
    • Troubleshooting
    • Common Issues
    • Contributing
    • License
    • Support
    • Roadmap

    Documentation

    Console Automation MCP Server

    Production-Ready Model Context Protocol (MCP) server that enables AI assistants to fully interact with console applications, monitor output, detect errors, and automate terminal workflows - similar to how Playwright works for web browsers.

    Version

    License

    Node

    Production Status ✅

    This server is fully production-ready with:

    • ✅ No native compilation required (removed node-pty dependency)
    • ✅ Full cross-platform support (Windows, macOS, Linux)
    • ✅ Streaming support for long-running processes
    • ✅ Multiple console type support (cmd, PowerShell, bash, zsh, sh)
    • ✅ Resource management and automatic cleanup
    • ✅ Comprehensive error handling and recovery
    • ✅ Easy installation scripts for all major MCP clients
    • ✅ All tests passing (see test-functionality.js)

    Features

    🚀 Core Capabilities

    • Full Terminal Control: Create and manage up to 50 concurrent console sessions
    • Multi-Protocol Support: Local shells (cmd, PowerShell, pwsh, bash, zsh, sh) and remote SSH connections
    • Interactive Input: Send text input and special key sequences (Enter, Tab, Ctrl+C, etc.)
    • Real-time Output Monitoring: Capture, filter, and analyze console output with advanced search
    • Streaming Support: Efficient streaming for long-running processes with pattern matching
    • Automatic Error Detection: Built-in patterns to detect errors, exceptions, and stack traces across languages
    • Cross-platform: Works on Windows, macOS, and Linux without native dependencies

    🔐 SSH & Remote Connections

    • Full SSH Support: Password and key-based authentication with passphrase support
    • SSH Options: Custom ports, connection timeouts, keep-alive settings
    • Connection Profiles: Save and reuse SSH configurations for quick access
    • Cloud Platform Support: Azure, AWS, GCP, Kubernetes connections via saved profiles
    • Container Support: Docker and WSL integration for containerized workflows

    ✅ Test Automation Framework

    • Automated Test Cases: Built-in assertion tools for console output validation
    • Output Assertions: Verify output contains, matches regex, or equals expected values
    • Exit Code Validation: Assert command exit codes for success/failure detection
    • Error-Free Validation: Automatically check for errors in command output
    • State Snapshots: Save and compare session states before/after operations
    • Test Workflows: Chain assertions for comprehensive testing scenarios

    🔄 Background Job Execution

    • Async Command Execution: Run long-running commands in background with full output capture
    • Priority Queue System: Prioritize jobs (1-10 scale) for optimal resource utilization
    • Job Monitoring: Track status, progress, and completion of background jobs
    • Job Control: Cancel, pause, or resume background operations
    • Result Retrieval: Get complete output and exit codes from completed jobs
    • Resource Management: Automatic cleanup of completed jobs with configurable retention

    📊 Enterprise Monitoring & Alerts

    • System-Wide Metrics: CPU, memory, disk, and network usage tracking
    • Session Metrics: Per-session performance monitoring and resource consumption
    • Real-time Dashboards: Live monitoring data with customizable views
    • Alert System: Performance, error, security, and anomaly alerts with severity levels
    • Custom Monitoring: Configure monitoring intervals, metrics, and thresholds per session
    • Diagnostics: Built-in error analysis and session health validation

    📁 Profile Management

    • Connection Profiles: Save SSH, Docker, WSL, and cloud platform connections
    • Application Profiles: Store common command configurations (Node.js, Python, .NET, Java, Go, Rust)
    • Quick Connect: Instantly connect using saved profiles with override support
    • Environment Variables: Store environment configurations per profile
    • Working Directory Management: Set default directories for each profile

    🔍 Advanced Output Processing

    • Regex Filtering: Search output with regular expressions (case-sensitive/insensitive)
    • Multi-Pattern Search: Combine multiple patterns with AND/OR logic
    • Pagination: Get specific line ranges, head, or tail of output
    • Time-based Filtering: Filter output by timestamp (absolute or relative: '5m', '1h', '2d')
    • Output Streaming: Real-time output capture for long-running processes
    • Buffer Management: Clear output buffers to reduce memory usage

    Quick Installation

    Windows (PowerShell as Administrator)

    powershell
    git clone https://github.com/ooples/console-automation-mcp.git
    cd console-automation-mcp
    .\install.ps1 -Target claude  # or google, openai, custom, all

    macOS/Linux

    bash
    git clone https://github.com/ooples/console-automation-mcp.git
    cd console-automation-mcp
    chmod +x install.sh
    ./install.sh --target claude  # or google, openai, custom, all

    Manual Installation

    bash
    git clone https://github.com/ooples/console-automation-mcp.git
    cd console-automation-mcp
    npm install --production
    npm run build

    Configuration

    For Claude Desktop

    Add to your Claude Desktop configuration file:

    Windows: %APPDATA%\Claude\claude_desktop_config.json

    macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

    Linux: ~/.config/Claude/claude_desktop_config.json

    json
    {
      "mcpServers": {
        "console-automation": {
          "command": "npx",
          "args": ["@mcp/console-automation"],
          "env": {
            "LOG_LEVEL": "info"
          }
        }
      }
    }

    For other MCP clients

    bash
    # Start the server with new name
    console-automation-mcp --log-level info
    
    # Or with backward compatible name
    mcp-console --log-level info
    
    # Or with npx
    npx console-automation-mcp --log-level info

    Available Tools (40 Total)

    This MCP server provides 40 comprehensive tools organized into 6 categories:

    📚 Complete Documentation

    • **Complete Tools Reference** - Detailed documentation for all 40 tools
    • **Practical Examples** - Real-world usage examples and patterns
    • **Publishing Guide** - How to list this server in registries

    Tool Categories

    🖥️ Session Management (9 tools)

    • console_create_session - Create local or SSH console sessions
    • console_send_input - Send text input to sessions
    • console_send_key - Send special keys (Enter, Ctrl+C, etc.)
    • console_get_output - Get filtered/paginated output with advanced search
    • console_get_stream - Stream output from long-running processes
    • console_wait_for_output - Wait for specific patterns
    • console_stop_session - Stop sessions
    • console_list_sessions - List all active sessions
    • console_cleanup_sessions - Clean up inactive sessions

    ⚡ Command Execution (6 tools)

    • console_execute_command - Execute commands with output capture
    • console_detect_errors - Analyze output for errors
    • console_get_resource_usage - Get system resource stats
    • console_clear_output - Clear output buffers
    • console_get_session_state - Get session execution state
    • console_get_command_history - View command history

    📊 Monitoring & Alerts (6 tools)

    • console_get_system_metrics - Comprehensive system metrics
    • console_get_session_metrics - Session-specific metrics
    • console_get_alerts - Active monitoring alerts
    • console_get_monitoring_dashboard - Real-time dashboard data
    • console_start_monitoring - Start custom monitoring
    • console_stop_monitoring - Stop monitoring

    📁 Profile Management (4 tools)

    • console_save_profile - Save SSH/app connection profiles
    • console_list_profiles - List saved profiles
    • console_remove_profile - Remove profiles
    • console_use_profile - Quick connect with saved profiles

    🔄 Background Jobs (9 tools)

    • console_execute_async - Execute commands asynchronously
    • console_get_job_status - Check job status
    • console_get_job_output - Get job output
    • console_cancel_job - Cancel running jobs
    • console_list_jobs - List all background jobs
    • console_get_job_progress - Monitor job progress
    • console_get_job_result - Get complete job results
    • console_get_job_metrics - Job execution statistics
    • console_cleanup_jobs - Clean up completed jobs

    ✅ Test Automation (6 tools)

    • console_assert_output - Assert output matches criteria
    • console_assert_exit_code - Assert exit codes
    • console_assert_no_errors - Verify no errors occurred
    • console_save_snapshot - Save session state snapshots
    • console_compare_snapshots - Compare state differences
    • console_assert_state - Assert session state

    Quick Start Examples

    Create a Local Session

    javascript
    const session = await console_create_session({
      command: "npm",
      args: ["run", "dev"],
      detectErrors: true
    });

    Connect via SSH

    javascript
    const session = await console_create_session({
      command: "bash",
      consoleType: "ssh",
      sshOptions: {
        host: "example.com",
        username: "user",
        privateKeyPath: "~/.ssh/id_rsa"
      }
    });

    Run Tests with Assertions

    javascript
    const session = await console_create_session({
      command: "npm",
      args: ["test"]
    });
    
    await console_assert_output({
      sessionId: session.sessionId,
      assertionType: "contains",
      expected: "All tests passed"
    });

    Background Job Execution

    javascript
    const job = await console_execute_async({
      sessionId: session.sessionId,
      command: "npm run build",
      priority: 8
    });
    
    const status = await console_get_job_status({
      jobId: job.jobId
    });

    For more examples, see docs/EXAMPLES.md

    Use Cases

    1. Running and monitoring a development server

    javascript
    // Create a session for the dev server
    const session = await console_create_session({
      command: "npm",
      args: ["run", "dev"],
      detectErrors: true
    });
    
    // Wait for server to start
    await console_wait_for_output({
      sessionId: session.sessionId,
      pattern: "Server running on",
      timeout: 10000
    });
    
    // Monitor for errors
    const errors = await console_detect_errors({
      sessionId: session.sessionId
    });

    2. Interactive debugging session

    javascript
    // Start a Python debugging session
    const session = await console_create_session({
      command: "python",
      args: ["-m", "pdb", "script.py"]
    });
    
    // Set a breakpoint
    await console_send_input({
      sessionId: session.sessionId,
      input: "b main\n"
    });
    
    // Continue execution
    await console_send_input({
      sessionId: session.sessionId,
      input: "c\n"
    });
    
    // Step through code
    await console_send_key({
      sessionId: session.sessionId,
      key: "n"
    });

    3. Automated testing with error detection

    javascript
    // Run tests
    const result = await console_execute_command({
      command: "pytest",
      args: ["tests/"],
      timeout: 30000
    });
    
    // Check for test failures
    const errors = await console_detect_errors({
      text: result.output
    });
    
    if (errors.hasErrors) {
      console.log("Test failures detected:", errors);
    }

    4. Interactive CLI tool automation

    javascript
    // Start an interactive CLI tool
    const session = await console_create_session({
      command: "mysql",
      args: ["-u", "root", "-p"]
    });
    
    // Enter password
    await console_wait_for_output({
      sessionId: session.sessionId,
      pattern: "Enter password:"
    });
    
    await console_send_input({
      sessionId: session.sessionId,
      input: "mypassword\n"
    });
    
    // Run SQL commands
    await console_send_input({
      sessionId: session.sessionId,
      input: "SHOW DATABASES;\n"
    });

    Error Detection Patterns

    The server includes built-in patterns for detecting common error types:

    • Generic errors (error:, ERROR:, Error:)
    • Exceptions (Exception:, exception)
    • Warnings (Warning:, WARNING:)
    • Fatal errors
    • Failed operations
    • Permission/access denied
    • Timeouts
    • Stack traces (Python, Java, Node.js)
    • Compilation errors
    • Syntax errors
    • Memory errors
    • Connection errors

    Development

    Building from source

    bash
    npm install
    npm run build

    Running in development mode

    bash
    npm run dev

    Running tests

    bash
    npm test

    Type checking

    bash
    npm run typecheck

    Linting

    bash
    npm run lint

    Architecture

    The server is built with:

    • node-pty: For creating and managing pseudo-terminals
    • @modelcontextprotocol/sdk: MCP protocol implementation
    • TypeScript: For type safety and better developer experience
    • Winston: For structured logging

    Core Components

    1. ConsoleManager: Manages terminal sessions, input/output, and lifecycle

    2. ErrorDetector: Analyzes output for errors and exceptions

    3. MCP Server: Exposes console functionality through MCP tools

    4. Session Management: Handles multiple concurrent console sessions

    Requirements

    • Node.js >= 18.0.0
    • Windows, macOS, or Linux operating system
    • No additional build tools required!

    Testing

    Run the included test suite to verify functionality:

    bash
    node test-functionality.js

    Troubleshooting

    Common Issues

    1. Permission denied errors: Ensure the server has permission to spawn processes

    2. node-pty compilation errors: Install build tools for your platform

    3. Session not responding: Check if the command requires TTY interaction

    4. Output not captured: Some applications may write directly to terminal, bypassing stdout

    Contributing

    Contributions are welcome! Please feel free to submit a Pull Request.

    1. Fork the repository

    2. Create your feature branch (git checkout -b feature/AmazingFeature)

    3. Commit your changes (git commit -m 'Add some AmazingFeature')

    4. Push to the branch (git push origin feature/AmazingFeature)

    5. Open a Pull Request

    License

    MIT License - see LICENSE file for details

    Support

    For issues, questions, or suggestions, please open an issue on GitHub:

    https://github.com/ooples/console-automation-mcp/issues

    Roadmap

    • [ ] Add support for terminal recording and playback
    • [ ] Implement session persistence and recovery
    • [ ] Add more error detection patterns for specific languages
    • [ ] Support for terminal multiplexing (tmux/screen integration)
    • [ ] Web-based terminal viewer
    • [ ] Session sharing and collaboration features
    • [ ] Performance profiling tools
    • [ ] Integration with popular CI/CD systems

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