Terraform Ingest

About

Terraform Ingest serves as an intelligent RAG ingestion engine designed to streamline the management and discovery of Terraform modules across multiple Git repositories. It automatically imports repositories, extracts detailed information about their purpose, inputs, outputs, and providers, and then transforms this data into JSON summaries. These summaries are subsequently embedded into a vector database, enabling advanced semantic searches and making the modules accessible to AI agents via its integrated MCP server capabilities.

Key Features

• Process multiple Terraform repositories from a single YAML configuration
• Embeds summaries into vector databases (ChromaDB, OpenAI, Claude) for semantic search
• 3 GitHub stars
• Extracts variables, outputs, providers, modules, and descriptions from Terraform code
• Generates structured JSON summaries ready for RAG ingestion
• Integrates as an MCP service for AI agent access to ingested modules

Use Cases

• Performing semantic searches for Terraform modules across multiple Git repositories
• Providing AI agents with structured access to internal or external Terraform module documentation
• Building AI-powered RAG systems for Terraform module discovery within an organization