GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
MCP server for AI-driven console application automation and monitoring
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
LOG_LEVEL你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"console-automation": {
"command": "npx",
"args": [
"-y",
"mcp-console-automation"
],
"env": {
"LOG_LEVEL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add console-automation --env LOG_LEVEL=your-value -- npx -y mcp-console-automation运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"console-automation": {
"command": "npx",
"args": [
"-y",
"mcp-console-automation"
],
"env": {
"LOG_LEVEL": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"console-automation": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-console-automation"
],
"env": {
"LOG_LEVEL": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
LOG_LEVEL env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 ooples 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.0.2)于13个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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
只显示了开头部分;其余内容请在仓库中阅读