"DevOps tools: Docker, Kubernetes, ArgoCD, and Terraform" matching MCP servers:

Enables AI assistants to manage Docker containers and Kubernetes resources through natural language, supporting operations like container management, image building, and pod/deployment/service management.

Safety-first GitOps operations for ArgoCD via the Model Context Protocol. Enables listing, diagnosing, syncing, and managing ArgoCD applications with progressive disclosure and defense-in-depth security.

An MCP server designed to retrieve DevOps skills, code standards, and SAP Fiori documentation templates from a GitHub repository. It allows users to list available resources and fetch specific best practices to integrate directly into their development workflow.

Enables AI assistants to interact with Argo CD through its REST API, providing tools to triage application status, sync, roll back, inspect drift, read logs, and manage ApplicationSets, clusters, projects, and repositories. Supports read-only safeguards, curated GitOps resources, and workflow prompts for safe operations.

Unified MCP server for DevOps engineers that provides real-time read and write access to Kubernetes, ArgoCD, Prometheus, and PagerDuty from any MCP-compatible AI agent.

An implementation of Model Context Protocol (MCP) server for Argo CD.

Enables management of Terraform infrastructure as code through 25 comprehensive tools for operations including plan/apply/destroy, state management, workspace management, and configuration file editing.

Enables AI agents to manage Terraform modules by searching, inspecting, and scaffolding configurations from private GitHub repositories. Also provides backend S3 configuration for generated Terraform code.

A Model Context Protocol (MCP) server that lets Claude manage Terraform infrastructure through natural language.

Enables coding agents to answer from what is actually true in the current Terraform working directory: the provider schemas pinned in the lock file, saved plans, redacted state, and local or installed module interfaces. It also reports what a pinned provider upgrade would break, all read-only and without ever running init in the root module.

Enables MCP clients to inspect and operate Kubernetes clusters across multiple contexts, with read-only/read-write/admin access modes and security flags controlling namespaces, contexts, deletes, applies, and exec.

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.

An MCP server for Azure DevOps work item management that enables AI assistants to create, query, update, and manage work items, sprints, and more.

Provides structured DevOps practices and templates (tracking, documentation, runbooks) to streamline AI-assisted PoC development, reducing CLAUDE.md bloat and ensuring consistency across projects.

Wraps the Docker Engine API as MCP tools for container and image management. Reduces token consumption by providing typed tools with default summaries and field selection.

Manages Kubernetes clusters through kubectl and Helm operations including pod cleanup, node management, and troubleshooting.

MCP server for Argo CD that provides multi-environment profiles, SSO or API key authentication, application search with cache, and REST API tools from the bundled OpenAPI catalog.

Enables AI agents to execute read-only DevOps operations including kubectl, terraform, helm, docker, and AWS cost analysis through natural language.

TypeScript implementation of Kubernetes cluster operations for pods, deployments, services.

Universal Docker MCP server for AI assistants (Cursor, Claude Desktop). Manage Docker containers, execute commands, query databases, and handle environment configurations — all through natural language.

More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.

MCP server for viewing Docker container logs on a remote VPS via SSH.

Generates, audits, and tunes Docker Compose stacks inside Claude Code.

Enables Claude to manage Docker Compose containers by updating, running commands, and viewing status/logs.

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

Enables AI assistants to query and manage Azure DevOps projects, boards, work items, repos, pull requests, and pipelines while enforcing governance boundaries such as access modes, project scoping, protected projects, delete gating, and typed confirmations.

Enables agentic Docker container operations including file read/write, command execution, and interactive TTY sessions via the local Docker binary.

Enables querying local MySQL databases and managing Docker containers (listing, logs) through natural language via the Model Context Protocol.

Provides access to Kubernetes troubleshooting runbooks, enabling search, discovery, and retrieval of guides for common issues like pod crashes, node problems, and network failures.

Enables AI assistants and MCP hosts to inspect GitHub repositories, pull requests, issues, and activity, and to create issues through schema-validated tools, resources, and prompts, with write actions gated by host or CLI confirmation.