mcp-console-automation
MCP server for AI-driven console application automation and monitoring
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"mcp-console-automation": {
"args": [
"mcp-console-automation@1.0.2"
],
"command": "npx"
}
}
}
可用工具 (5 个)
该服务在 MCP 协议中暴露的工具,AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数:query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数:urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数:url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数:url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数:input
服务介绍
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.
# 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
- 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
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-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
- 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
- No additional build tools required!
# Testing
Run the included test suite to verify functionality:
node test-functionality.js
# Troubleshooting
# # Common Issues
- Permission denied errors: Ensure the server has permission to spawn processes
- node-pty compilation errors: Install build tools for your platform
- 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/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