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Tool connections (MCP)

Docker MCP Gateway

docker/mcp-gateway

Run and manage multiple MCP servers through one Docker gateway.

What is Docker MCP Gateway?

Prepared by LessAI Tools from public project documentation

Docker's official gateway connects an assistant to multiple MCP servers and manages their containers, tools and authorization. It is useful when you already use Docker and need to organize several connections. The documented Desktop setup requires Docker Desktop 4.59 or later with MCP Toolkit enabled; standalone options also exist. Docker Desktop licensing and third-party service charges apply separately.

Docker MCP Gateway setup documentation

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

Docker MCP Gateway use cases

  • Connect multiple servers through one gateway
  • Run and manage container-based servers
  • Manage tool access, secrets and OAuth

Official project & documentation

The project’s original description

docker mcp CLI plugin / MCP Gateway

Alternatives to Docker MCP Gateway for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • REA — Reverse Engineer Anything — Let AI investigate how an application's features work and return code and runtime evidence you can check.
  • GitHub MCP Server — Let your AI assistant work with GitHub code, issues, and pull requests.
  • AWS MCP Servers — Give an assistant AWS documentation and selected cloud-operation tools.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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