How to Document a REST API with DocStar: Let Your AI Agent Draft It
Documenting a REST API used to mean days of copying routes, parameters and example bodies into a docs tool. With DocStar, your AI coding agent does that part. Connect Claude Code, Cursor or Codex to DocStar, point it at your code, and it documents every endpoint as a draft: method, URL, auth, parameters, a full body example and sample responses. You review, test and publish an interactive API…
Documenting a REST API has traditionally required manual effort, including copying route details, parameters, and example bodies into a documentation tool. However, DocStar simplifies this process by utilizing an AI coding agent that can draft endpoint documentation. To begin, connect your preferred coding agent, such as Claude Code, Cursor, or Codex, to DocStar.
Point the agent at your codebase, and it will automatically generate a draft of every endpoint, including the method, URL, authentication requirements, parameters, a sample request body, and sample responses. Once the agent has completed its draft, you can review, test, and publish an interactive API reference. This not only provides a hosted MCP server but also includes a CLI for easy access and integration.
The guide outlined in this article demonstrates how to utilize DocStar's AI agent-driven approach to create comprehensive API documentation, highlights the essential components of good endpoint documentation, and explains where your review and intervention are critical. By following these steps, you can ensure that your API documentation is clear, complete, and easily accessible to both developers and AI agents.
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