Docker Servidores MCP

Docker Manager

Orchestrates Docker containers, stacks, and hosts across your infrastructure using AI assistant commands.

Devcontainers

Integrates Model Context Protocol (MCP) with the devcontainers CLI for managing development environments.

Docker Controller

Enables seamless integration with Docker Desktop on Windows, providing advanced automation and interaction capabilities for developers.

Docker

Executes code in isolated Docker containers and returns the results to language models.

Container Manager

Provides a robust interface to manage Docker and Podman containers, networks, volumes, and Docker Swarm services.

Docker

Exposes Docker functionality to AI assistants like Claude, enabling management of containers, images, networks, and volumes through a type-safe API.

Docker TUI

Provides a fast and responsive Text User Interface for monitoring and managing Docker containers directly from the terminal, including real-time log streaming and CPU usage.

Docker

Enables AI assistants to interact with Docker via the Model Context Protocol (MCP).

Docker Code Interpreter

Executes code securely within isolated Docker containers for AI assistants using the Model Context Protocol.

Enhanced Dev Env

Provides a pre-configured development environment with a focus on Python, CLI tools, and containerization.

Docker Agent

Provides a lightweight and secure backend for managing and monitoring Docker containers remotely via REST and WebSocket APIs.

Node.js Sandbox

Executes JavaScript code securely within ephemeral Docker containers, enabling dynamic code generation and testing for AI agents and LLMs.

Gilhari Example1

Demonstrates RESTful CRUD operations and Object-Relational Mapping (ORM) for JSON objects using the Gilhari microservice framework.

Security Scanner

Automatically detects and suggests fixes for security vulnerabilities in code, including AI-generated code and Infrastructure as Code.

Poly Container

Provides unified access and management for multiple container runtimes through a single Model Context Protocol interface.

Isolator

Executes code securely in isolated containers via the Model Context Protocol.

Docker

Empower AI assistants to manage Docker containers, images, networks, volumes, and registries using natural language interactions.

Gilhari Relationships Example

Demonstrates object-relational mapping for JSON objects within a RESTful Gilhari microservice, showcasing one-to-one and one-to-many BYVALUE relationships and advanced query capabilities.

Docker

Enables AI assistants to seamlessly manage Docker containers, images, and networks via a standardized JSON-RPC interface using the Model Context Protocol (MCP).

Forge

Manage Docker containers through an HTTP API or MCP server, enabling seamless integration with AI agents for isolated code execution.