
Mcp Console Automation
io.github.ooples由 GitHub 帳號 ooples 發布v1.0.2更新於 Oct 24, 2026
MCP server for AI-driven console application automation and monitoring
概覽
讓助理執行並監控本機 shell 指令與遠端 SSH 工作階段,擷取輸出、偵測錯誤並執行背景工作。
- 可以做什麼
- 提供約 40 個工具,用來建立與管理最多 50 個並行主控台工作階段,包括本機 shell(cmd、PowerShell、bash、zsh、sh)與遠端 SSH 連線。可傳送文字與特殊按鍵,擷取、篩選與串流輸出,偵測錯誤與堆疊追蹤,執行具優先順序的背景工作,並提供系統與工作階段指標及警示。另支援儲存連線設定,以及驗證輸出、結束碼與工作階段狀態的斷言工具。
- 適用情境
- 適合助理需要操作互動式命令列程式、觀察開發伺服器或測試執行、逐步偵錯行程,或透過 SSH 執行自動化檢查的情境。它面向以終端機為中心的開發與維運流程,而非唯讀的文件查詢。
- 執行需求
- 以本機 Node.js 行程執行(Node.js 18 或更新版本),支援 Windows、macOS 與 Linux。需從原始碼透過 npm 建置安裝;README 指出 npm 套件尚未發布。選用的 Docker、雲端、Kubernetes 與序列埠整合需要額外套件。SSH 連線需要主機、使用者名稱,以及透過環境變數參照或金鑰路徑提供的認證。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Mcp Console Automation,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
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_LOGandMCP_LOG_DIRunset 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
macOS/Linux
Manual Installation
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:
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
- 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 sessionsconsole_send_input- Send text input to sessionsconsole_send_key- Send special keys (Enter, Ctrl+C, etc.)console_get_output- Get filtered/paginated output with advanced searchconsole_get_stream- Stream output from long-running processesconsole_wait_for_output- Wait for specific patternsconsole_stop_session- Stop sessionsconsole_list_sessions- List all active sessionsconsole_cleanup_sessions- Clean up inactive sessions
⚡ Command Execution (6 tools)
console_execute_command- Execute commands with output captureconsole_detect_errors- Analyze output for errorsconsole_get_resource_usage- Get system resource statsconsole_clear_output- Clear output buffersconsole_get_session_state- Get session execution stateconsole_get_command_history- View command history
📊 Monitoring & Alerts (6 tools)
console_get_system_metrics- Comprehensive system metricsconsole_get_session_metrics- Session-specific metricsconsole_get_alerts- Active monitoring alertsconsole_get_monitoring_dashboard- Real-time dashboard dataconsole_start_monitoring- Start custom monitoringconsole_stop_monitoring- Stop monitoring
📁 Profile Management (4 tools)
console_save_profile- Save SSH/app connection profilesconsole_list_profiles- List saved profilesconsole_remove_profile- Remove profilesconsole_use_profile- Quick connect with saved profiles
🔄 Background Jobs (9 tools)
console_execute_async- Execute commands asynchronouslyconsole_get_job_status- Check job statusconsole_get_job_output- Get job outputconsole_cancel_job- Cancel running jobsconsole_list_jobs- List all background jobsconsole_get_job_progress- Monitor job progressconsole_get_job_result- Get complete job resultsconsole_get_job_metrics- Job execution statisticsconsole_cleanup_jobs- Clean up completed jobs
✅ Test Automation (6 tools)
console_assert_output- Assert output matches criteriaconsole_assert_exit_code- Assert exit codesconsole_assert_no_errors- Verify no errors occurredconsole_save_snapshot- Save session state snapshotsconsole_compare_snapshots- Compare state differencesconsole_assert_state- Assert session state
Quick Start Examples
Create a Local Session
Connect via SSH
Run Tests with Assertions
Background Job Execution
For more examples, see docs/EXAMPLES.md
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
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
Running in development mode
Running tests
Type checking
Linting
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
- ConsoleManager: Manages terminal sessions, input/output, and lifecycle
- ErrorDetector: Analyzes output for errors and exceptions
- MCP Server: Exposes console functionality through MCP tools
- 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:
Troubleshooting
Common Issues
- Permission denied errors: Ensure the server has permission to spawn processes
- Optional native dependency errors: Install platform build tools only when enabling serial-port integrations
- Session not responding: Check if the command requires TTY interaction
- Output not captured: Some applications may write directly to terminal, bypassing stdout
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - 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
來源:README.md,提交 4c28713
工具
0版本歷史
1- v1.0.2最新Sep 16, 2026
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