Show HN: Ragtoolina – MCP tool that adds codebase RAG to AI coding agents (www.ragtoolina.com)

Ragtoolina has been announced as a new MCP (Model Context Protocol) tool designed to enhance AI coding agents by integrating a codebase Retrieval-Augmented Generation (RAG). It promises to significantly reduce the tokens consumed during coding sessions, offering an average cost of $3.01 per session, compared to $7.81 without the tool. Tested on the widely-recognized Cal.com codebase, Ragtoolina demonstrates its efficacy through real benchmarks that highlight the diminished back-and-forth between users and AI assistants, thereby streamlining the coding experience. This tool is particularly significant for the AI/ML community as it addresses the challenges faced by developers in optimizing interactions with AI coding tools. Ragtoolina operates locally, ensuring that sensitive code does not leave users' machines while still being compatible with any MCP-compatible AI tool. Its straightforward setup process—requiring just three steps and no complex infrastructure changes—means it can be quickly adopted across projects. Moreover, its support for enterprise-grade self-hosted deployments aligns with organizational compliance needs, enabling teams to maintain full control over their data while benefiting from enhanced coding efficiency and semantic search capabilities.