"Information about Docker containerization technology" matching MCP servers:

Enables LLMs to search Docker Hub repositories, discover container images, and manage Docker Hub repositories and tags through natural language queries. Supports both public content access and authenticated operations with Docker Personal Access Tokens.

MCP server for querying Docker Hub image statistics, including pull counts, stars, descriptions, and publisher catalogs. No API key required.

Enables AI assistants to search, analyze, and manage Docker images on Docker Hub through standardized MCP tools, with features including security scanning, layer analysis, and image comparison.

A comprehensive MCP server that provides advanced Docker operations through a unified interface with 16 MCP tools and 25+ CLI aliases, enabling secure container lifecycle management, multi-container orchestration, registry publishing, and system maintenance.

Provides tools for managing Docker containers, Compose stacks, and system resources on Hetzner servers via SSH. It also includes capabilities for reloading Caddy configurations and managing Cloudflare DNS records.

A production-ready MCP server for Docker Swarm that provides full control over services, stacks, configs, and secrets with smart context preservation to reduce tool clutter.

Enables comprehensive management of DuploCloud infrastructure, including tenants, services, hosts, databases, and storage. It provides tools for lifecycle operations on cloud resources like ECS tasks and S3 buckets through the Model Context Protocol.

Enables safe VPS diagnostics and Docker/Docker Compose management over SSH, providing predefined read-only and mutating tools for system monitoring, container inspection, and Compose orchestration without exposing arbitrary shell execution.

Enables managing Docker environments through Arcane via natural language, providing tools for containers, images, volumes, networks, and Docker Compose stacks.

Enables AI assistants to create, read, edit, and manage Google Docs and Drive files with support for formatting, comments, tables, images, and bulk operations.

A boilerplate TypeScript MCP server with Express.js designed for AWS AppRunner deployment. Provides sample tools, resources, and prompts with Docker containerization and GitHub Actions CI/CD workflow.

Enables AI coding agents to instantly provision ephemeral developer infrastructure like Postgres, Redis, MongoDB, and container deployments over HTTPS, with no Docker or signup required for the free anonymous tier.

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

An MCP server that provides offline searchable Microsoft 365 roadmap data and live Azure status, enabling AI agents to answer questions about upcoming features, roadmap changes, and Azure incidents.

Cloud cost management MCP server for Azure. Ask your AI about your cloud bill.

An MCP server that scaffolds full-stack projects with consistent structure, Docker setup, CI/CD pipelines, and database configuration.

A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.

Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.

Enables LLMs to migrate Docker Compose applications to Kubernetes, including inspection, planning, manifest generation, validation, deployment with approval, verification, and diagnosis.

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

MCP server for deploying projects to multiple cloud platforms (Vercel, Railway, Neon, MongoDB Atlas, Docker) and running local dev servers, with orchestration for full-stack deployments.

Enables management of Railway.app infrastructure through natural language, including deploying services from GitHub repos or Docker images, managing environment variables, monitoring deployments, and configuring networking and volumes.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Read-only MCP server that exposes Kubernetes platform state (tenants, pods, SLOs, ArgoCD applications, chaos schedules, and catalog services) to AI agents, enabling natural language queries about cluster health and configuration.

Deploy and manage Bult.ai cloud hosting projects from MCP clients like Cursor, Claude Desktop, and Claude Code. Create projects and services, deploy GitHub repositories or Docker images, manage routes and volumes, inspect logs, and troubleshoot deployments from your AI assistant.

Enables AI agents to deploy and manage Docker containers on your own machine via MCP tools, providing public HTTPS URLs through free Cloudflare quick tunnels.

Enables users to plan and create applications on a Coolify instance from container images, Git repositories, inline Dockerfiles, and repository-based Docker Compose, while validating ownership and returning deployment webhooks.

Resolves configuration and environment-variable precedence across .env files, Docker Compose, and Kubernetes, showing what a variable actually evaluates to at runtime and why.

Enables managing Ploi.io servers, sites, databases, and Docker containers through the Ploi API, supporting both local stdio and remote Cloudflare Worker deployments with multi-tenant authentication.

Enables you to interact with your Fivetran environment through natural language, supporting read-only queries about connections and syncs, and write operations like updating sync frequency when enabled.

MCP server for managing a self-hosted Coolify instance. Provides full REST CRUD, deploy/watch capabilities, and an optional host-ops tier for live log streaming, SSH, Docker, and database access.

An MCP server for BigQuery that lets Claude answer questions about your search and analytics data, providing real analysis with verdicts and recommendations, not just raw query results.

Enables AI models to manage Docker containers, images, networks, and volumes through the Portainer API, providing comprehensive container orchestration capabilities.

Connects MCP-compatible coding agents to VMware vCenter to query information about virtual machines, hosts, clusters, datastores, datacenters, and networks.

Enables coding agents to set up and manage the environment around a project — deployments to GitHub, Vercel and Railway, secrets, domains, technology choices and business systems — with help that adapts from guided walkthroughs to terse facts. It also researches companies and drafts offers using the user's own model and tokens, and reads project goals, decisions and a public technology catalog.

A comprehensive MCP server that provides Claude with direct access to Docker, DigitalOcean, and CloudFlare APIs for infrastructure management and automation.

An MCP server for managing and monitoring Docker, Docker Compose, and Kubernetes environments alongside Azure Application Insights. It enables advanced log filtering, container lifecycle management, and querying of cloud application traces and metrics.

An AI-powered MCP server for managing Docker infrastructure, enabling creation, deployment, and lifecycle management of containerized services with automated DNS and SSL.

Maintenant modern monitoring for docker and kubernetes. NOTE : Is local server, you can't see online deployments

Enables seamless SSH operations including secure connections, file transfers, interactive shell sessions, and Docker container management on remote servers. Supports both password and SSH key authentication with credential management and connection pooling.