Choose a method
We recommend using MCP first. MCP is best for querying ScitiX documentation continuously from an IDE, coding agent, or desktop AI client. The AI tool can retrieve relevant documentation on demand, without requiring you to copy page links or page content each time. If your AI tool does not support MCP, choose another method based on your use case.MCP access
If your AI tool supports Model Context Protocol (MCP), you can connect it to ScitiX documentation. After connection, the AI tool can search relevant documentation and answer questions based on the docs. Use the following MCP server URL when adding ScitiX Docs to your AI tool.
Common AI tools that support MCP include Claude Code, Codex, Cursor, and others. Configuration entry points and field names may differ by tool. Refer to the MCP configuration guide for your specific tool.
Configure Claude Code
Claude Code is primarily a command-line workflow. In the project directory where you want to use ScitiX Docs, run:scitix-docs appears in the list, you can ask Claude to query ScitiX documentation in Claude Code sessions.
Configure Codex
If you use a Codex client that supports graphical MCP configuration, you can add an MCP server in the app and set the server URL tohttps://docs.scitix.ai/mcp.
If you want to reuse the configuration across projects or IDEs, use the CLI or configuration file.
Run the following command to add the ScitiX Docs MCP server:
~/.codex/config.toml, and add:
Other reading methods
Use skill.md
skill.md describes the documentation site and product capabilities to AI agents. It is useful for tools that support skills or agent context.
- Help an AI agent understand the scope of ScitiX documentation.
- Help an agent decide when to query ScitiX Docs.
- Provide site-level context to tools that support skill descriptions.
Use llms.txt
llms.txt provides an index of the documentation pages. It is useful when you want AI to understand what pages are available.
- Let AI discover key ScitiX documentation pages.
- Let AI choose which pages to read next.
- Provide a readable documentation index in your prompt.
Use llms-full.txt
llms-full.txt provides more complete documentation content. It is useful when an AI tool needs a larger documentation context at once.
- Answer questions based on the full documentation content.
- Build temporary documentation context.
- Summarize, compare, or migrate documentation content.
Use single-page Markdown
Every documentation page can be read in Markdown format. Add.md to the page URL to get a plain-text version that is easier for AI tools to read.
For example:
- Ask AI to read one specific page.
- Reference a specific procedure or configuration.
- Generate a summary, check configuration, or troubleshoot based on a specific page.
Usage recommendations
- For product concepts, setup steps, and configuration details, prefer MCP or a specific Markdown page.
- If an AI answer conflicts with the documentation page, rely on the documentation page.
- For model availability, pricing, quotas, and console status, also check the console.

