MCP SERVER

Docker MCP Server — 让 AI Agent 管理 Docker 容器

安装 Docker MCP 服务器,让 Claude Code、Cursor 和 Windsurf 管理容器、镜像、卷和网络。直接在 AI 编程环境中构建、运行、检查和调试 Docker 工作负载。

30 个工具

安装 Docker MCP Server

{
  "mcpServers": {
    "docker": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-v", "/var/run/docker.sock:/var/run/docker.sock",
        "mcp/docker"
      ]
    }
  }
}
Paste into ~/.cursor/mcp.json. Requires Docker Desktop running.

Docker MCP — Container Management for AI Agents

MCP server that gives AI agents Docker container management capabilities. Build, run, stop, and inspect containers through tool calls for automated DevOps workflows.

MCP Hub 27MCP Configs

Claude Code Templates — 600+ Agents, Commands & MCPs

Ready-to-use Claude Code configurations: 600+ agents, 200+ commands, 55+ MCPs, and project templates. Install any template with one command.

TokRepo精选 171MCP ConfigsConfigs

Jina Reader — AI-Friendly Web Content Extraction

Convert any URL to clean markdown for AI consumption. Free API at r.jina.ai strips ads, navigation, and clutter. Used by AI agents for web research and RAG.

MCP Hub 146MCP Configs

Google Stitch MCP — AI Design via Model Context Protocol

Connect Claude Code, Cursor, Gemini CLI, or VS Code to Google Stitch for AI-driven UI design. Create projects, generate screens from text, edit designs, manage design systems — all via MCP.

TokRepo精选 107MCP Configs

Pal MCP Server — Multi-Model AI Gateway for Claude Code

MCP server that lets Claude Code use Gemini, OpenAI, Grok, and Ollama as a unified AI dev team. Features model routing, CLI-to-CLI bridge, and conversation continuity across 7+ providers.

TokRepo精选 99MCP Configs

Chrome MCP Background Proxy — Fix Popups, Focus Stealing & Multi-Agent Conflicts

Drop-in proxy for Chrome MCP. Solves Chrome 146+ debugging popups, focus stealing, and multi-agent conflicts with persistent CDP connection, request ID remapping, and sessionId-based event routing.

henuwangkai 95MCP ConfigsScripts

Neon — Serverless Postgres with Database Branching

Serverless PostgreSQL with instant database branching, autoscaling, and a generous free tier. Branch your database like git branches — test schema changes without touching production. 16,000+ stars.

MCP Hub 54MCP Configs

Codebase Memory MCP — Code Intelligence for AI Agents

High-performance code intelligence MCP server. Indexes repos in milliseconds via tree-sitter AST, supports 66 languages, sub-ms graph queries. MIT, 1,300+ stars.

MCP Hub 53MCP Configs

Codebase Memory MCP — Code Knowledge Graph Server

High-performance MCP server that indexes codebases into persistent knowledge graphs. Supports 66 languages, sub-millisecond queries, and claims 99% fewer tokens than raw file context. 1,100+ stars.

MCP Hub 50MCP Configs

Appwrite — Open-Source Backend for AI Apps

Complete cloud backend with auth, database, storage, functions, and messaging in one platform. Self-hostable. 55K+ GitHub stars.

TokRepo精选 47MCP Configs

Neon MCP — Serverless Postgres via AI Agents

MCP server for Neon serverless Postgres. Create projects, branch databases, run SQL, optimize queries via natural language. Safe migration workflow with branching. MIT, 574+ stars.

MCP Hub 46MCP Configs
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LMDeploy — High-Performance LLM Deployment Toolkit

Deploy and serve LLMs with 1.8x higher throughput than vLLM. 4-bit quantization, OpenAI-compatible API. By InternLM. 7.7K+ stars.

MCP Hub 45MCP Configs
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MCPHub — Centralized MCP Server Management Hub

Manage multiple MCP servers from one dashboard. Smart routing, hot-swap config, OAuth 2.0 auth. Deploy via Docker in one command. Apache-2.0, 2,000+ stars.

MCP Hub 44MCP Configs

Wrangler MCP — Cloudflare Workers for AI Agents

MCP server for managing Cloudflare Workers, KV, R2, and D1 from AI agents. Deploy serverless functions, manage storage, and query databases through Claude Code tool calls.

MCP Hub 42MCP Configs
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Best of MCP Servers — 450 Ranked MCP Servers

A weekly-updated ranked directory of 450 MCP servers across 34 categories with quality scores based on GitHub stars, contributors, and activity. Find the best MCP server for any use case.

MCP Hub 41PromptsMCP Configs
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Smithery CLI — MCP Server Registry & Installer

Search, install, and manage MCP servers from Smithery's registry of 6,000+ servers. One command to connect any MCP server to Claude, Cursor, or other AI tools. AGPL-3.0.

MCP Hub 40MCP Configs

Firecrawl MCP — Web Scraping Server for AI Agents

Official Firecrawl MCP server for AI agents to scrape, crawl, and extract structured data from any website. Supports batch scraping, search, and markdown extraction. 15,000+ stars.

MCP Hub 38MCP Configs

Uptime Kuma — Self-Hosted Uptime Monitoring

Monitor HTTP, TCP, DNS, Docker services with notifications to 90+ channels. Beautiful dashboard. 84K+ GitHub stars.

MCP Hub 38MCP Configs
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Browser Use — AI Agent Browser Automation

Let AI agents control web browsers with natural language. Browser Use provides vision-based element detection, multi-tab support, and works with any LLM provider.

MCP Hub 36MCP Configs

PostgreSQL MCP Server — Database Queries for AI

MCP server for PostgreSQL database access. Run read-only SQL queries, inspect schemas, list tables, and analyze data directly from Claude Code or Cursor.

MCP Hub 35MCP Configs

MCP Inspector — Debug MCP Servers Visually

Official MCP Inspector for testing and debugging MCP servers. 9.3K+ stars. Web UI, tool/resource/prompt inspection, request testing.

MCP Hub 34MCP Configs

Context7 — Up-to-Date Docs MCP for AI Editors

MCP server that provides AI code editors with up-to-date library documentation. Eliminates hallucinations from outdated training data. Supports 1000+ libraries. 51K+ stars.

MCP Hub 34MCP Configs
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Engram — Persistent Memory System for AI Agents

Agent-agnostic persistent memory system with SQLite full-text search. Ships as MCP server, HTTP API, CLI, and TUI. Gives any AI coding agent long-term memory across sessions. 2,300+ stars.

MCP Hub 32MCP Configs

Chrome DevTools MCP — Browser Debugging for AI Agents

Give your AI coding agent full access to Chrome DevTools for browser automation, debugging, and performance analysis. Works with Claude, Cursor, Copilot, and 15+ AI tools.

MCP Hub 32MCP Configs
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mcp-agent — Build AI Agents with MCP Patterns

mcp-agent is a Python framework for building AI agents using the Model Context Protocol. 8.2K+ GitHub stars. Implements composable workflow patterns (orchestrator, map-reduce, evaluator-optimizer, rou

MCP Hub 32MCP ConfigsScripts

Notion MCP — Connect AI Agents to Your Knowledge Base

Official MCP server for Notion workspace access. Search pages, read content, create and update databases, and manage tasks in Notion through Claude Code tool calls.

MCP Hub 31MCP Configs

Context7 — Live Library Docs for LLMs, 51K Stars

MCP server fetching up-to-date, version-specific library documentation into LLM context. Eliminates hallucinated APIs across 30+ AI coding tools.

TokRepo精选 31MCP Configs

Unstructured — Document ETL for LLM Pipelines

Extract clean data from PDFs, DOCX, HTML, images, and emails for RAG and LLM ingestion. 14K+ GitHub stars.

MCP Hub 31MCP Configs

Serena — Semantic Code Agent via MCP

Serena is a coding agent MCP server with semantic code retrieval and editing. 22K+ stars. Understands classes, functions, symbols for precise context-aware edits. MIT.

MCP Hub 31MCP Configs
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Glama — MCP Server Discovery and Management

Directory and management platform for MCP servers. Discover, install, and monitor Model Context Protocol servers for Claude Code, Cline, and other AI coding tools.

MCP Hub 30MCP Configs

AI 驱动的容器运维

The Docker MCP server gives your AI agent direct control over your container infrastructure. List running containers, inspect logs, build images from Dockerfiles, manage volumes, and debug failing deployments — all through natural language in Claude Code or Cursor. No more switching between your editor and a terminal window full of docker ps and docker logs commands.

The server connects through the Docker socket (/var/run/docker.sock), which means it has the same permissions as your local Docker CLI. The AI can do anything you can do with docker: pull images, start and stop containers, exec into running containers, read build logs, and inspect network configurations. For production Kubernetes clusters, this is a development and staging tool — use it to prototype locally before deploying.

The most productive pattern is AI-assisted debugging. When a container fails, tell the agent "debug why the API container keeps crashing" and it will inspect the container, read the logs, check resource limits, and identify the root cause. Pair with the GitHub MCP server and the agent can fix the Dockerfile and open a PR. For teams running self-hosted AI stacks, Docker MCP makes it trivial to manage Ollama, Open WebUI, and other containerized AI services from within your coding agent. See also DevOps AI tools for CI/CD and deployment automation.

Docker is how developers ship software. Docker MCP is how AI agents understand what you shipped.

常见问题

What is the Docker MCP server?+

The Docker MCP server is an official MCP implementation that exposes Docker Engine operations as structured tools for AI agents. It supports container lifecycle management (create, start, stop, remove), image operations (pull, build, list), volume and network management, container inspection, and log streaming. It runs as a Docker container itself and connects via the Docker socket.

Is it safe to give AI agents Docker access?+

Docker socket access is equivalent to root access on the host machine. Best practices: (1) Only use in development and staging environments. (2) Never mount the Docker socket in production containers. (3) Consider using Docker contexts to limit which Docker daemon the agent can reach. (4) Review any container operations the agent proposes before approving — especially image builds and volume mounts.

Does it work with Docker Compose?+

The MCP server works with the Docker Engine API, which powers both standalone containers and Compose stacks. The agent can inspect and manage containers started by Compose. For Compose-specific operations (up, down, scale), the agent can call docker compose commands through the container's exec capability or you can pair it with a filesystem MCP server that reads your compose.yaml files.

Can the AI build Docker images?+

Yes. The agent can trigger docker build operations, read build logs, and diagnose build failures. The most common workflow: the agent reads your Dockerfile, identifies issues (missing dependencies, wrong base image, inefficient layer ordering), suggests fixes, and rebuilds. It's particularly useful for multi-stage builds where layer optimization requires understanding the full build context.

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