io.github.ooples/mcp-console-automation

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MCP server for AI-driven console application automation and monitoring

Que pouvez-vous faire avec io.github.ooples/mcp-console-automation ?

  • 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

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package mcp-console-automation
Claude Code
claude mcp add mcp-console-automation -e 'LOG_LEVEL=<LOG_LEVEL>' -- npx -y mcp-console-automation@1.0.2
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "mcp-console-automation": {
            "command": "npx",
            "args": [
                "-y",
                "mcp-console-automation@1.0.2"
            ],
            "env": {
                "LOG_LEVEL": "<LOG_LEVEL>"
            }
        }
    }
}

Variables d'environnement

  • LOG_LEVEL Logging level for console output (error, warn, info, debug, trace)

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Console Automation MCP Server
  2. Security status
  3. Features
  4. Quick Installation
  5. Configuration
  6. Available Tools (40 Total)
  7. Use Cases
  8. Error Detection Patterns
  9. Development
  10. Architecture
  11. Requirements
  12. Testing
  13. Troubleshooting
  14. Contributing
  15. License
  16. Support
  17. Roadmap

Console Automation MCP Server

Model Context Protocol (MCP) server for controlled interaction with local console applications and remote SSH sessions, including output monitoring, error detection, and long-running workflows.

Security status

This server can execute arbitrary commands and open remote SSH sessions. Treat it like a privileged terminal, not a low-risk documentation connector:

  • keep MCP tool approvals enabled for command/session mutations;
  • prefer SSH keys or environment-variable credential references over inline secrets;
  • use a restricted deployment account and a separate production approval step;
  • leave MCP_DEBUG_LOG and MCP_LOG_DIR unset unless diagnostics are explicitly required;
  • leave session persistence disabled unless recovery metadata is explicitly required;
  • install cloud, container, and serial integrations only when needed.

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 reusable SSH metadata and environment-variable credential references
  • 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
git clone https://github.com/ooples/mcp-console-automation.git
cd mcp-console-automation
.\install.ps1 -Target codex
macOS/Linux
git clone https://github.com/ooples/mcp-console-automation.git
cd mcp-console-automation
chmod +x install.sh
./install.sh --target codex
Manual Installation
git clone https://github.com/ooples/mcp-console-automation.git
cd mcp-console-automation
npm ci
npm run build
codex mcp add console-automation --env LOG_LEVEL=warn -- node "$PWD/dist/mcp/server.js"

Configuration

Codex stores MCP configuration in ~/.codex/config.toml. The installers use codex mcp add and safely replace an existing console-automation registration. Restart Codex after installation and use /mcp to verify the connection.

For another MCP client, generate a new JSON configuration without overwriting an existing file:

.\install.ps1 -Target custom -CustomPath C:\path\to\new-mcp-config.json

The npm package has not been published, so npx console-automation-mcp and @mcp/console-automation are not valid installation paths.

Saved SSH credentials

console_save_profile rejects inline passwords, private-key material, and passphrases. Use passwordEnvVar, privateKeyEnvVar or privateKeyPath, and passphraseEnvVar. Profile-list responses never return credential values, and configuration files are created with owner-only permissions where the operating system supports POSIX modes.

Session persistence

Session persistence is disabled by default because session recovery data can include commands, paths, and environment values. To opt in, set MCP_SESSION_PERSISTENCE=true. The default file is ~/.console-automation-mcp/sessions.json; override it with MCP_SESSION_PERSISTENCE_PATH. Persisted command/environment recovery data remains disabled unless enabled through the programmatic SessionManager configuration.

The production installers remove development and optional protocol packages. Local consoles and SSH remain available. Install only the peer packages required for Docker, cloud, Kubernetes, serial, or other optional adapters.

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 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
npm install
npm run build
Running in development mode
npm run dev
Running tests
npm test
Type checking
npm run typecheck
Linting
npm run lint

Architecture

The server is built with:

  • Node child processes and ssh2: For local command execution and SSH sessions
  • @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
  • Optional serial-port integrations can require platform build tools.

Testing

Run static validation, the build, MCP smoke tests, and the test suite:

npm run lint
npm run typecheck
npm run build
npm run test:mcp
npm run test:logger
npm run test:installer
npm run test:package
npm test

Troubleshooting

Common Issues
  1. Permission denied errors: Ensure the server has permission to spawn processes
  2. Optional native dependency errors: Install platform build tools only when enabling serial-port integrations
  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/mcp-console-automation/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

Questions fréquentes

Qu'est-ce que io.github.ooples/mcp-console-automation ?

MCP server for AI-driven console application automation and monitoring

Comment installer io.github.ooples/mcp-console-automation ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add mcp-console-automation -e 'LOG_LEVEL=<LOG_LEVEL>' -- npx -y mcp-console-automation@1.0.2. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.ooples/mcp-console-automation ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.ooples/mcp-console-automation est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.ooples/mcp-console-automation ?

Il est publié par ooples. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.