IaC Memory MCP Server

The IaC Memory MCP Server tackles a common pain point for teams that rely on Infrastructure‑as‑Code (IaC) tooling: persistent, version‑aware context. When developers ask an AI assistant about a Terraform provider or an Ansible module, the assistant must know not only what the resource is, but also which version of that resource was used in a particular deployment and how it relates to other components. This server supplies a dedicated, queryable memory layer that stores IaC artifacts, their schemas, and the relationships between them. By exposing these details through the Model Context Protocol, Claude (or any MCP‑capable assistant) can retrieve accurate, up‑to‑date information on demand, reducing guesswork and enabling more reliable automation.

At its core, the server offers a hierarchical resource catalog. Resources are identified by clear URI patterns such as or . This uniform addressing scheme lets the assistant drill down from a platform level (Terraform or Ansible) to specific providers, collections, and modules. The catalog also tracks version metadata, allowing queries for a particular release or the latest available version, and keeps a history of changes so that developers can audit how an infrastructure component evolved over time.

Key capabilities include:

• Persistent storage & version tracking – Every IaC component is stored with its schema and documentation, along with timestamps that enable temporal queries.
• Relationship mapping – The server automatically analyzes dependencies between resources, producing a graph of how modules, providers, and collections interact.
• Schema validation – Incoming IaC definitions are validated against stored schemas to catch inconsistencies before they reach production.
• Prompt integration – Dedicated prompts such as , , and let an assistant fetch precise information without manual API calls.
• Tooling for IaC managers – A suite of tools (e.g., , ) lets developers update the catalog directly from their workflow, ensuring that the memory layer stays in sync with real deployments.

In practice, this MCP server shines for scenarios where AI assistants must support real‑time infrastructure troubleshooting, policy compliance checks, or auto‑generation of documentation. For example, a DevOps engineer can ask Claude to “show me the latest AWS S3 bucket provider used in our staging environment and list all dependent modules.” The assistant retrieves the exact version, its schema, and a map of related resources—all from the memory layer—without requiring manual lookups in Terraform state files or Ansible playbooks.

By integrating seamlessly into existing MCP‑based pipelines, the IaC Memory MCP Server gives developers a single source of truth for infrastructure artifacts. It removes the friction of juggling multiple documentation sources, reduces the risk of version drift, and empowers AI assistants to deliver precise, context‑rich answers that directly accelerate IaC development and operations.