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PopNx MCPMCP servers for people who use AI · explained in plain words

MCP Console Automation

by ooplesversion 1.0.2i★ –iRuns on your computer
Registry nameio.github.ooples/mcp-console-automation

Install

Overview

Description from the maker (original English)

MCP server for AI-driven console application automation and monitoring

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: LOG_LEVEL

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "console-automation": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-console-automation"
      ],
      "env": {
        "LOG_LEVEL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add console-automation --env LOG_LEVEL=your-value -- npx -y mcp-console-automation

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "console-automation": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-console-automation"
      ],
      "env": {
        "LOG_LEVEL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "console-automation": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-console-automation"
      ],
      "env": {
        "LOG_LEVEL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

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

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ooples, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1396 servers in this category
  • Published to the registry more recently than 1% of the other 1396 servers in this category
  • Basic checks equal to or better than 100% of the other 1396 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Console Automation safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 13 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 4 days ago
Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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
  • [Complete Tools Reference](docs/TOOLS.md) - Detailed documentation for all 40 tools
  • [Practical Examples](docs/EXAMPLES.md) - Real-world usage examples and patterns
  • [Publishing Guide](PUBLISHING.md) - How to list this server in registries
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_e

Only the beginning is shown; read the rest in the repo

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