> For the complete documentation index, see [llms.txt](https://docs.rumi.systems/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rumi.systems/rumi-ai/ai.md). # Overview Rumi AI provides integration with AI coding assistants and operational tools, enabling AI-assisted development and operations for Rumi applications. ## Overview Rumi AI covers two primary use cases: ### Development * MCP servers for AI coding agents (Claude Code, Cursor, Windsurf, etc.) * Project scaffolding and code generation assistance * Context-aware development support ### Operations * AI-assisted troubleshooting and diagnostics * Log analysis and pattern recognition * Performance analysis and recommendations ## Sections * [Concepts](/rumi-ai/concepts.md) - Understanding Rumi AI architecture and capabilities * [Guides](/rumi-ai/guides.md) - Setting up and using AI tools with Rumi * [Reference](/rumi-ai/reference.md) - MCP server reference and configuration > **Note**: This section is under development. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.rumi.systems/rumi-ai/ai.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.