#container

MCP server for AI-boosted development in VS Code DevContainers.

A template repository that includes a dev container for running a local LLM and included knowledge base. Add a git repo using `git subtree` or `git submodule` and update it using an MCP Client/Server relationship i.e. `VS Code` extension like `Cline` and the `Filesystem`/`Obsidian-MCP` MCP server.

A universal Playwright MCP server for browser automation in containerized environments

Simple MCP Server w/ Shell Exec. Connect to Local via Ngrok, or Host Ubuntu24 Container via Docker

MCP server to add container superpowers to your AI agent

This directory showcases various Model Context Protocol (MCP) servers. These servers enable Large Language Models (LLMs) to securely access tools and data sources from Microsoft Azure.

Kilntainers is an MCP server that gives LLM agents isolated Linux sandboxes for executing shell commands. 🧰 Multiple backends: Containers (Docker, Podman), cloud-hosted micro-VMs (Modal, E2B), and WebAssembly sandboxes (WASM BusyBox, or any WASM module). 🏝️ Isolated per agent: Every agent gets its own dedicated sandbox — no shared state, no cross-contamination. 🧹 Ephemeral: Sandboxes live for the duration of the MCP session, then are shut down and cleaned up automatically. 🔒 Secure by design: The agent communicates with the sandbox over MCP — it doesn’t run inside it. No agent API keys, code, or prompts are exposed to the sandbox. 🔌 Simple MCP interface: A single MCP tool, sandbox_exec, lets your agent run any Linux command. 📈 Scalable: Scale from a few agents on your laptop to thousands running in parallel in the cloud.

MCP server to play with IA and containerlab instances

An AZD template to deploy a Model Context Protocol (MCP) server written in TypeScript to Azure Container Apps using SSE Transport.

An AZD template to deploy a Model Context Protocol (MCP) server written in C# to Azure Container Apps using SSE Transport.

A secure, isolated environment for exploring Python development with Model Context Protocol (MCP) and Language Server Protocol (LSP)

This is a quick start guide that provides the basic building blocks to set up a remote Model Context Protocol (MCP) server using Azure Container Apps. The MCP server is built using Node.js and TypeScript, and it can be used to run various tools and services in a serverless environment.

Model Context Protocol (MCP) server for container runtimes (Podman and Docker)

OAuth2 Authorization Server with Spring Boot 3 and Java 24

Example project demonstrating how to deploy MCP Servers using Azure Container Apps with a weather data processing use case. This repo showcases best practices for containerizing, configuring, and deploying scalable MCP Servers on Azure for real-time data ingestion and analysis.

Model Context Protocol (MCP) server for Kubernetes and OpenShift

Containerized versions of hundreds of MCP servers 📡 🧠

Simple MCP Server w/ Shell Exec. Connect to Local via Ngrok, or Host Ubuntu24 Container via Docker

MCP server to add container superpowers to your AI agent

The orkestr MCP server gives AI agents full control of the orkestr deployment platform over the Model Context Protocol. From an MCP client an agent can create and manage projects from a GitHub, GitLab, Bitbucket, or Codeberg repo, spin up environments, trigger and roll back deployments, deploy and invoke serverless functions, provision and back up managed PostgreSQL and Redis add-ons, manage custom domains, and read live logs, build logs, metrics, and health, all on infrastructure that stays in the EU.

More than just a fully featured MCP server that lets AI agents manage Docker — containers, images, networks, volumes, swarm services, secrets, configs, nodes, plugins, etc., it helps you create workflows to easily manage your Docker environments. For simple cases, you can just install and go with no configuration required - once loaded it will discover your local Docker socket and expose the full command surface to your AI agent. For more advanced users it can manage multiple Docker daemons, e.g. both your local dev environment and also a remote production environment over TCP, TLS or SSH in a single session. It can also be configured to mark some daemons as read-only, so you can monitor them without the risk of making accidental changes.

The official Control Plane MCP server. Deploy, operate, troubleshoot, and migrate containerized workloads — plus secrets, networking, and stateful storage across AWS, GCP, Azure, OCI, and your own hardware, in natural language.

Drive Docker and Colima from an AI. A safety-gated MCP server for containers, images, volumes, networks, and Compose, with secret masking and a destructive-action grant.