
Mcp Console Automation
io.github.ooples由 GitHub 账号 ooples 发布v1.0.2更新于 Oct 24, 2026
MCP server for AI-driven console application automation and monitoring
概览
让助手运行并监控本地 shell 命令和远程 SSH 会话,捕获输出、检测错误并执行后台任务。
- 可以做什么
- 提供约 40 个工具,用于创建和管理最多 50 个并发控制台会话,包括本地 shell(cmd、PowerShell、bash、zsh、sh)和远程 SSH 连接。它可以发送文本和特殊按键,捕获、过滤和流式读取输出,检测错误和堆栈跟踪,运行带优先级的后台任务,并提供系统与会话指标和告警。还支持保存连接配置,以及校验输出、退出码和会话状态的断言工具。
- 适用场景
- 适合助手需要驱动交互式命令行程序、观察开发服务器或测试运行、逐步调试进程,或通过 SSH 执行自动化检查的场景。它面向以终端为中心的开发和运维工作流,而不是只读的文档查询。
- 运行要求
- 作为本地 Node.js 进程运行(Node.js 18 或更高版本),支持 Windows、macOS 和 Linux。需从源码通过 npm 构建安装;README 说明 npm 包尚未发布。可选的 Docker、云、Kubernetes 和串口集成需要额外软件包。SSH 连接需要主机、用户名以及通过环境变量引用或密钥路径提供的凭据。
安装
在 SourceWeft 中
- 打开 控制台中的 Mcp Console Automation,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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
来源:README.md,提交 4c28713
工具
0版本历史
1- v1.0.2最新Sep 16, 2026
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