Docker MCP
概览
作者提供的说明(英文原文)
MCP server for managing Docker containers, images, networks, volumes, and registries
它能帮你做什么
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。
- 连接方式: 在你的电脑上运行
- 传输方式: stdio
- 分类: 开发者工具
安装
选择你使用的 AI 应用,然后复制设置。
通过 1/2 项检查 · 在你的电脑上运行
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
打开电脑版 Claude 应用的设置文件
SettingsDeveloperEdit Config
粘贴这些设置并保存文件
{ "mcpServers": { "docker": { "command": "npx", "args": [ "-y", "@alisaitteke/docker-mcp" ] } } }退出 Claude 再重新打开
试一试
用 Docker MCP 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Docker MCP,或回答中出现 Docker MCP 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 Docker MCP
Docker MCP 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
你可以改用这些方式
A · 使用能连接 Docker MCP 的应用
- 需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
- 需要先在电脑上安装 Node.js(只需一次)
- 需要先在电脑上安装 Node.js(只需一次)
- 需要先在电脑上安装 Node.js(只需一次)
B · 开发者工具 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
- Sentry✓ ChatGPT
- Front-End Checklist✓ ChatGPT
- Compiler Explorer✓ ChatGPT
可连接 Claude Code,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
打开终端
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
粘贴这条命令并按 Enter
claude mcp add docker -- npx -y @alisaitteke/docker-mcp在 Claude Code 中输入 /mcp
应能看到 Docker MCP 在列表中并显示已连接
试一试
用 Docker MCP 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Docker MCP,或回答中出现 Docker MCP 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
在 Cursor 中以 Agent 模式打开 AI 聊天
试一试
用 Docker MCP 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Docker MCP,或回答中出现 Docker MCP 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
在 VS Code 中以 Agent 模式打开 AI 聊天
试一试
用 Docker MCP 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Docker MCP,或回答中出现 Docker MCP 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
开发者专用:终端命令和 JSON 设置
安装在电脑上
Claude Code
claude mcp add docker -- npx -y @alisaitteke/docker-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"docker": {
"command": "npx",
"args": [
"-y",
"@alisaitteke/docker-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"docker": {
"command": "npx",
"args": [
"-y",
"@alisaitteke/docker-mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"docker": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@alisaitteke/docker-mcp"
]
}
}
}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。
一览
哪些应用可以使用它
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
它能做什么
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。
基础检查i
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11日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 alisaitteke 验证,该账户拥有此仓库
- ! 注意
仍在维护
代码最后更新于10个月前,已超过 6 个月
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- – 不适用
端点有响应
它在你的电脑上运行,没有互联网端点
- – 不适用
使用 OAuth 登录
在你的电脑上运行,改用本地设置
- … 尚未检查
工具描述中没有隐藏指令
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
讨论
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
用户评价
还没有评价
与“开发者工具”中的其他服务器比较i
- 星标数多于此分类中其他 5748 个服务器的 77%
- 发布到注册中心的时间比此分类中其他 5748 个服务器的 2% 更新
- 基础检查结果等于或优于此分类中其他 5748 个服务器的 12%
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。
常见问题
Docker MCP 安全吗?
它在 2 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。
它需要哪些密钥或代码?
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。
它在我的电脑上运行还是在云端?
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)。
它还在维护吗?
GitHub 仓库最后更新于10个月前,最新版本(0.2.4)于10个月前进入注册中心。
哪些应用可以使用它?
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。
有什么可以替代它?
同一分类中有:REA, Netdata, Front-End Checklist
替代选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ 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
Netdata
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Front-End Checklist
Review frontend code and live pages against 386 quality-gated web development rules.
作者的 README
打开 README
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。
Docker MCP Server
Powerful Docker management for AI assistants
A comprehensive Model Context Protocol (MCP) server that empowers AI assistants like Cursor, Claude Desktop, and other MCP-compatible clients to seamlessly manage Docker containers, images, networks, volumes, and registries through natural language interactions.
Why Docker MCP Server?
- Zero Configuration - Works out of the box with
npx, no installation needed - Safety First - Two-step confirmation for destructive operations
- Cross-Platform - Works on Windows, Linux, and macOS with automatic Docker socket detection
- Comprehensive - Full Docker API coverage including Compose, registries, and system operations
- AI-Native - Designed specifically for AI assistants with clear, structured responses
Features
Container Management
- Full lifecycle control: Create, start, stop, restart, kill, and remove containers
- Monitoring: Real-time logs, statistics, and container inspection
- Advanced operations: Pause/unpause, exec commands, and resource management
Image Management
- Registry operations: Pull, push, tag, and remove images
- Build support: Build images from Dockerfiles with full configuration
- Inspection: Detailed image history, layers, and metadata
Network Management
- Network operations: Create, remove, and inspect Docker networks
- Container connectivity: Connect/disconnect containers from networks
- Network discovery: List and filter networks with advanced options
Volume Management
- Volume operations: Create, remove, and inspect volumes
- Data persistence: Manage persistent storage for containers
- Volume inspection: Detailed volume information and mount points
System Operations
- System information: Docker daemon info, version, and capabilities
- Resource cleanup: Prune unused images, containers, volumes, and networks
- Event monitoring: Real-time Docker event stream
Container Execution
- Command execution: Run commands in running containers
- Interactive sessions: Create and manage exec instances
- Output streaming: Real-time command output and logs
Registry Integration
- Docker Hub: Search repositories, list tags, authenticate, pull/push images
- GitHub Container Registry (GHCR): Full authentication and image management
- Multi-registry support: Seamlessly work with multiple registries
Docker Compose Support
- Multi-container management: Start, stop, restart compose services
- Service monitoring: View logs and status of compose services
- Build operations: Build compose services with dependency management
- Configuration validation: Parse and validate docker-compose.yml files
Safety Features
- Two-step confirmation for all destructive operations
- Resource preview: See what will be deleted before confirmation
- Dual confirmation methods:
- Confirm parameter (default): Works everywhere, simple and reliable
- MCP Elicitation API (advanced): Interactive form-based confirmation for better UX
Installation
Via npx (Recommended)
npx @alisaitteke/docker-mcp
Local Installation
npm install -g @alisaitteke/docker-mcp
Or install locally in your project:
npm install @alisaitteke/docker-mcp
Quick Start
With Cursor
- Add to your Cursor MCP configuration (usually in
.cursor/mcp.jsonor similar):
{
"mcpServers": { "docker": { "command": "npx", "args": ["@alisaitteke/docker-mcp"] } } }
- Restart Cursor and start managing Docker with AI!
With Claude Desktop
- Add to your Claude Desktop configuration:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
{
"mcpServers": { "docker": { "command": "npx", "args": ["@alisaitteke/docker-mcp"] } } }
- Restart Claude Desktop and start managing Docker with AI!
Local Development and Testing
Prerequisites
- Node.js 18.0.0 or higher
- Docker daemon running
- npm or yarn
Setup
- Clone the repository:
git clone <repository-url>
cd docker-mcp
- Install dependencies:
npm install
- Build the project:
npm run build
Running Locally
Method 1: Using npm start (after build)
# Build first
npm run build
Run the server
npm start
Method 2: Using npm run dev (development mode with tsx)
npm run dev
This uses tsx to run TypeScript directly without building.
Method 3: Direct execution
# Build first
npm run build
Run directly with node
node dist/index.js
Method 4: Using the binary
# Build first
npm run build
Make sure the binary is executable
chmod +x bin/docker-mcp-server.js
Run the binary
./bin/docker-mcp-server.js
Development Workflow
- Make changes to source files in
src/ - Build the project:
npm run build
- Test the changes:
npm start
or
npm run dev
4. Check for TypeScript errors:
npm run typecheck
- Lint the code:
npm run lint
Troubleshooting
Docker connection issues:
- Ensure Docker daemon is running:
docker ps - Linux/macOS: Check Docker socket permissions:
ls -la /var/run/docker.sock - Windows: Ensure Docker Desktop is running and named pipe is accessible
- For remote Docker, set environment variables:
DOCKER_HOST,DOCKER_CERT_PATH, etc. - macOS: If
/var/run/docker.sockdoesn't exist, try~/.docker/run/docker.sock(Docker Desktop 4.0+)
Build errors:
- Clear node_modules and reinstall:
rm -rf node_modules && npm install - Check TypeScript version compatibility
- Ensure all dependencies are installed:
npm install
Runtime errors:
- Check that Docker is accessible:
docker version - Verify the build was successful:
ls -la dist/ - Check server logs (errors are written to stderr)
Configuration
The server automatically detects the operating system and uses the appropriate Docker socket path:
Platform-Specific Defaults
- Linux:
/var/run/docker.sock(Unix socket) - macOS:
/var/run/docker.sockor~/.docker/run/docker.sock(Docker Desktop 4.0+) - Windows:
//./pipe/docker_engine(Named pipe)
Connection Methods (in order of priority)
- Environment variables (highest priority):
DOCKER_HOST- Docker daemon host (e.g.,tcp://localhost:2376,npipe:////./pipe/docker_engine)DOCKER_PORT- Docker daemon portDOCKER_PROTOCOL- Protocol (httporhttps)DOCKER_SOCKET_PATH- Path to Docker socket (overrides platform default)DOCKER_CERT_PATH- Path to Docker certificates directoryDOCKER_TLS_VERIFY- Enable TLS verification (1or0)
- Platform-specific defaults (automatic detection):
- Linux:
/var/run/docker.sock - macOS:
/var/run/docker.sock(or~/.docker/run/docker.sockif available) - Windows:
//./pipe/docker_engine
Windows Configuration
On Windows, Docker Desktop uses named pipes. The server automatically detects Windows and uses the correct path. You can also explicitly set:
# Using environment variable
set DOCKER_SOCKET_PATH=//./pipe/docker_engine
Or using DOCKER_HOST
set DOCKER_HOST=npipe:////./pipe/docker_engine
Remote Docker Host
To connect to a remote Docker host:
# Linux/macOS
export DOCKER_HOST=tcp://192.168.1.100:2376 export DOCKER_TLS_VERIFY=1 export DOCKER_CERT_PATH=/path/to/certs
Windows
set DOCKER_HOST=tcp://192.168.1.100:2376 set DOCKER_TLS_VERIFY=1 set DOCKER_CERT_PATH=C:\path\to\certs
Available Tools
Container Tools
docker_list_containers- List all containersdocker_create_container- Create a new containerdocker_start_container- Start a containerdocker_stop_container- Stop a containerdocker_restart_container- Restart a containerdocker_kill_container- Kill a containerdocker_remove_container- Remove a containerdocker_inspect_container- Get container detailsdocker_container_logs- Get container logsdocker_container_stats- Get container statisticsdocker_pause_container- Pause a containerdocker_unpause_container- Unpause a container
Image Tools
docker_list_images- List all imagesdocker_pull_image- Pull an image from registrydocker_push_image- Push an image to registrydocker_tag_image- Tag an imagedocker_remove_image- Remove an imagedocker_inspect_image- Get image detailsdocker_image_history- Get image history
Network Tools
docker_list_networks- List all networksdocker_create_network- Create a networkdocker_remove_network- Remove a networkdocker_inspect_network- Get network detailsdocker_connect_container- Connect container to networkdocker_disconnect_container- Disconnect container from network
Volume Tools
docker_list_volumes- List all volumesdocker_create_volume- Create a volumedocker_remove_volume- Remove a volumedocker_inspect_volume- Get volume details
System Tools
docker_system_info- Get Docker system informationdocker_version- Get Docker versiondocker_prune_system- Prune all unused resourcesdocker_prune_images- Prune unused imagesdocker_prune_containers- Prune stopped containersdocker_prune_volumes- Prune unused volumesdocker_prune_networks- Prune unused networks
Exec Tools
docker_exec- Execute a command in a containerdocker_inspect_exec- Get exec instance details
Compose Tools
docker_compose_up- Start Docker Compose servicesdocker_compose_down- Stop and remove Docker Compose servicesdocker_compose_ps- List Docker Compose servicesdocker_compose_logs- View output from Docker Compose servicesdocker_compose_config- Parse and validate docker-compose.yml filedocker_compose_build- Build Docker Compose servicesdocker_compose_restart- Restart Docker Compose servicesdocker_compose_stop- Stop Docker Compose servicesdocker_compose_start- Start Docker Compose services
Registry Tools
dockerhub_search- Search Docker Hubdockerhub_get_tags- Get repository tags from Docker Hubdockerhub_authenticate- Authenticate with Docker Hubdockerhub_pull- Pull from Docker Hub