About Ragtoolina

Our Mission

AI coding assistants are transforming software development, but they’re held back by a fundamental problem: context. Every question about your codebase sends thousands of irrelevant tokens to the model, driving up costs and slowing down responses.

Ragtoolina solves this by giving your AI tools semantic understanding of your entire codebase. Instead of dumping raw files, your assistant gets precisely the right context — the exact functions, types, and documentation it needs to answer your question.

What We Do

Ragtoolina is a macOS-native application that builds a semantic index of your projects. It generates vector embeddings from your source code, documentation, and connected services like GitHub, Jira, and Confluence.

Through our MCP server integration, AI tools like Claude Code and Cursor can query your index natively — getting relevant, precise context instead of brute-force file dumps. The result is 63% fewer tokens on average with the same quality answers.

Built for Teams

Ragtoolina isn’t just for solo developers. Team indexes let your entire engineering organization share a single, up-to-date semantic index. New team members get instant context. Cross-team questions get accurate answers. Everyone saves on token costs.

Privacy First

We never store your raw source code. Only vector embeddings and file metadata are retained on our servers. Your code stays on your machine — we just help your AI tools understand it better.

Get in Touch

Have questions or want to learn more? Reach out at support@ragtoolina.com