Terraform Ingest MCP

Terraform Ingest MCP is a Model Context Protocol (MCP) server designed to help AI assistants and agents ingest, index, and search Terraform modules from multiple source code repositories. It automates the process of importing repositories (from GitHub, GitLab, and soon Bitbucket), analyzes Terraform modules (variables, providers, outputs), generates structured JSON summaries, and embeds this information into a vector database for semantic search. The system is useful for AI retrieval-augmented generation (RAG) workflows, DevOps teams, infrastructure engineers, and platform teams who want to make Terraform module knowledge easily accessible to AI tools and agents.