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.
Description from the maker (original English)
MCP server for AI-driven console application automation and monitoring
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
LOG_LEVELYou need
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-automationFill in the empty values before running it.
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.
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.
LOG_LEVEL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account ooples, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 13 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
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’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.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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.
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.
This server can execute arbitrary commands and open remote SSH sessions. Treat it like a privileged terminal, not a low-risk documentation connector:
MCP_DEBUG_LOG and MCP_LOG_DIR unset unless diagnostics are explicitly required;git clone https://github.com/ooples/mcp-console-automation.git
cd mcp-console-automation .\install.ps1 -Target codex
git clone https://github.com/ooples/mcp-console-automation.git
cd mcp-console-automation chmod +x install.sh ./install.sh --target codex
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"
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.
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 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.
This MCP server provides 40 comprehensive tools organized into 6 categories:
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 sessionsconsole_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 historyconsole_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 monitoringconsole_save_profile - Save SSH/app connection profilesconsole_list_profiles - List saved profilesconsole_remove_profile - Remove profilesconsole_use_profile - Quick connect with saved profilesconsole_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 jobsconsole_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 stateconst session = await console_create_session({
command: "npm", args: ["run", "dev"], detectErrors: true });
const session = await console_create_session({
command: "bash", consoleType: "ssh", sshOptions: { host: "example.com", username: "user", privateKeyPath: "~/.ssh/id_rsa" } });
const session = await console_create_session({
command: "npm", args: ["test"] });
await console_assert_output({ sessionId: session.sessionId, assertionType: "contains", expected: "All tests passed" });
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
// 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 });
// 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" });
// Run tests
const result = await console_e
Only the beginning is shown; read the rest in the repo