Best MCP servers for infrastructure as code
Infrastructure as code, declaring your infrastructure in version-controlled definitions and applying changes through automated pipelines, benefits enormously from an AI agent that can read the current state, understand a proposed change, and reason about its impact before anything is applied. Rather than an engineer manually diffing plans and checking cluster state, an agent can pull the live picture from the platforms that manage your infrastructure and deployments. The right servers depend on your stack: an IaC management platform that gates and applies changes, a GitOps controller for Kubernetes, and the container and cluster tooling underneath. The servers below are real MCP servers covering the main pieces of an IaC workflow, each with a verified install config.
Spacelift
Spacelift
Spacelift's official hosted MCP server exposes the entire Spacelift GraphQL API so agents can discover, query, and manage IaC stacks.
Spacelift's server lets an agent inspect IaC stacks, runs, and policies in a platform built to manage Terraform, OpenTofu, and other definitions, so it can reason about pending infrastructure changes before they apply.
Argo CD
Argo Project (argoproj-labs)
The Argo CD MCP server lets an agent inspect and manage GitOps applications — list and sync apps, read resource trees and workload logs, and run resource act...
Argo CD's server exposes GitOps application state and sync status for Kubernetes, letting an agent see whether the cluster matches the declared desired state and what a sync would change.
Kubernetes
containers (Red Hat)
Native Kubernetes and OpenShift MCP server: list, inspect, and manage cluster resources, pods, and Helm releases directly through the Kubernetes API.
The Kubernetes server lets an agent query live cluster resources, deployments, pods, and events, so it can verify that an applied IaC change actually produced the intended runtime state.
Docker
Docker
Docker's official MCP Gateway: run, secure, and aggregate containerized MCP servers behind one endpoint, with on-demand discovery from the Docker MCP Catalog.
Docker's server gives an agent visibility into container images and runtime, useful for reasoning about the build artifacts that infrastructure definitions ultimately deploy.