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Console Automation

Production-ready MCP server for AI-driven console automation and monitoring. 40 tools for session management, SSH, testing, monitoring, and background jobs. Like Playwright for terminal applications.

coding-agentstestingmonitoringautomationai
By ooples
4114Updated 6 days agoTypeScriptMIT

Installation

npx -y mcp-console-automation

Configuration

{
  "mcpServers": {
    "mcp-console-automation": {
      "command": "npx",
      "args": ["-y", "mcp-console-automation"]
    }
  }
}

How to use

  1. Run the installation command above (if needed)
  2. Open your Claude Code settings file (~/.claude/settings.json)
  3. Add the configuration to the mcpServers section
  4. Restart Claude Code to apply changes

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)

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

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

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

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

For other MCP clients

# 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

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

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

Connect via SSH

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

Run Tests with Assertions

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

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

// 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

// 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

// 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

// 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

View source on GitHub