Automate Console Applications and Terminal Workflows
A production MCP server for full console/terminal automation - 40 tools for local and SSH sessions, output monitoring, and multi-language error detection.
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Why it matters
Enable AI assistants to fully interact with console applications, monitor output, detect errors, and automate terminal workflows, similar to how Playwright works for web browsers.
Outcomes
What it gets done
Create and manage local or SSH console sessions.
Send input and monitor output for console applications.
Automate terminal workflows with error detection and validation.
Execute commands and manage long-running background tasks.
Source
Get it from source
Spark does not host a copy of it.
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Capabilities
Tools your agent gets
Create local or SSH console sessions
Send text input to sessions
Send special keys (Enter, Ctrl+C, etc.)
Get filtered/paginated output with advanced search
Stream output from long-running processes
Wait for specific patterns in console output
Stop active console sessions
List all active console sessions
Overview
A production MCP server exposing 40 tools for creating and driving local or SSH console sessions - input, output streaming, multi-language error detection, and resource monitoring. Use when an agent needs to run and monitor real terminal workflows rather than issuing one-off shell commands blind.
What it does
Lets an AI assistant fully interact with console applications the way Playwright drives a web browser - creating and managing sessions, sending input, monitoring output, and detecting errors across up to 50 concurrent console sessions. Named tools cover session lifecycle (console_create_session for local or SSH sessions, console_stop_session, console_list_sessions, console_cleanup_sessions), interaction (console_send_input, console_send_key for special keys like Enter or Ctrl+C, console_execute_command for one-shot commands with output capture), output handling (console_get_output with filtering and pagination, console_get_stream for long-running processes, console_wait_for_output for pattern matching, console_clear_output), and diagnostics (console_detect_errors, console_get_resource_usage, console_get_session_state, console_get_command_history). Local shells covered include cmd, PowerShell, pwsh, bash, zsh, and sh, and remote sessions connect over SSH with password or key-based authentication, including passphrase support, with connection profiles that save and reuse SSH configurations for quick reconnects.
When to use - and when NOT to
Use it when an agent needs to run and monitor real terminal workflows - development servers, automated test suites, remote SSH sessions, background jobs - rather than issuing one-off shell commands blind. It requires no native code compilation and works across Windows, macOS, and Linux, installed via a PowerShell script on Windows, a shell script on macOS/Linux, a manual npm build, or a zero-install invocation. Error detection is built in across multiple programming languages' error, exception, and stack-trace patterns, so a monitored process's failures surface automatically rather than requiring the calling agent to parse raw output itself.
Capabilities
Complete terminal session management for up to 50 concurrent local or SSH sessions, interactive input and special-key sending, real-time filtered output monitoring and streaming, automatic multi-language error detection, resource usage statistics, saved SSH connection profiles, and built-in test-case validation tools - 40 tools total across session management, command execution, monitoring and alerts, profile management, background tasks, and test automation.
How to install
Run the platform installer (install.ps1 -Target claude on Windows, install.sh --target claude on macOS/Linux), build manually with npm install --production && npm run build, or skip installation entirely with npx @mcp/console-automation, then add the server to Claude Desktop's config:
{
"mcpServers": {
"console-automation": {
"command": "npx",
"args": ["@mcp/console-automation"],
"env": {
"LOG_LEVEL": "info"
}
}
}
}
Who it's for
Agents and developers who need to drive real terminal workflows programmatically - running dev servers, executing tests, connecting to remote machines via SSH, monitoring long background jobs - with the same reliability Playwright brings to browser automation - the project's own usage examples span running a dev server while watching for errors, executing automated tests with output validation, connecting to remote servers over SSH, monitoring system metrics with alerts, and running long background tasks with priority queuing.
Source 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
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
- 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 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:
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
- 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
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
FAQ
Common questions
Discussion
Questions & comments · 0
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