IaC Memory MCP Server

The IaC Memory MCP Server is a specialized Model Context Protocol (MCP) endpoint designed to give Claude and other AI assistants persistent, version‑aware knowledge about Infrastructure‑as‑Code (IaC) artifacts. In typical AI interactions, the assistant’s context is transient; once a conversation ends, all details about Terraform modules, Ansible collections, or provider schemas are lost. This server solves that problem by acting as a long‑lived knowledge base that tracks every IaC component, its versions, and the relationships between them.

What It Does

At its core, the server stores IaC resources in a hierarchical URI namespace (). This structure lets developers query for a specific provider, resource type, or module with absolute precision. Beyond simple storage, the server offers:

• Version tracking – every provider, resource definition, and module is stored with its exact version number and associated documentation.
• Relationship mapping – the server automatically analyses how resources interconnect (e.g., a Terraform referencing an IAM role) and surfaces those links.
• Schema validation – each resource definition is validated against its provider’s schema, ensuring that AI queries return consistent and accurate data.
• Temporal metadata – timestamps for creation, updates, and deprecation are recorded, enabling AI assistants to recommend the most current practices.

Key Features

Use Cases

• Code Generation – When an AI assistant writes Terraform or Ansible snippets, it can pull the exact provider schema and module arguments from the server, guaranteeing syntactic correctness.
• Documentation Assistance – Developers ask for the latest best practices; the server supplies up‑to‑date docs tied to specific resource versions.
• Compliance Audits – The relationship mapping helps auditors trace which resources depend on others, aiding in security reviews.
• Onboarding – New team members can query the server for a quick overview of available modules and their relationships without consulting external docs.

Integration with AI Workflows

An MCP‑enabled assistant simply sends a request to the server’s endpoints (e.g., , ) and receives structured JSON responses. The assistant can then embed that data into its response, augmenting explanations with authoritative resource information or generating code blocks that are guaranteed to compile. Because the server exposes tools for both Terraform and Ansible, a single AI agent can seamlessly switch contexts between cloud provisioning and configuration management.

Unique Advantages

Unlike generic knowledge bases, this MCP server is IaC‑centric: it understands provider schemas, module signatures, and resource hierarchies natively. Its version‑aware design ensures that AI never recommends deprecated or incompatible components, a common pitfall in automated IaC generation. For developers who rely on AI to accelerate infrastructure work, the IaC Memory MCP Server delivers a reliable, context‑rich foundation that turns fleeting conversation into lasting, actionable knowledge.