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DocStar

DocStar is an API documentation platform that allows coding agents to generate and publish API docs, llms.txt, a hosted MCP server, and a CLI directly from your code. It keeps all documentation channels in sync with your codebase, eliminating the need for manual updates or OpenAPI files. DocStar supports custom branding and domains, ensuring your documentation reflects your identity.

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DocStar is a comprehensive API documentation platform designed for both human developers and AI agents. It streamlines the process of creating and maintaining API documentation by leveraging coding agents to read your code and automatically generate various documentation formats. With DocStar, you simply paste a setup prompt into your coding agent (such as Claude Code, Cursor, or Codex) while it's opened in your API's repository. The agent then reads your routes, identifies endpoints, authentication methods, parameters, bodies, and responses, and proposes a documentation plan.

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Once approved, DocStar publishes your API documentation across multiple channels. This includes a searchable docs site with a try-it playground, code samples, and custom branding on your own domain. For AI models, it generates `llms.txt` and markdown versions of every page, ensuring models read clean text instead of HTML. For agents, DocStar provides a hosted MCP (Multi-Agent Communication Protocol) server on your domain, allowing agents to search your docs and call your API as tools with OAuth sign-in. Additionally, it generates a CLI (Command Line Interface) where every endpoint becomes a command, updated in sync with your code. DocStar can also export a current OpenAPI file for SDK generators, gateways, and test tools.

A key feature of DocStar is its ability to prevent documentation drift. It continuously watches your repository for changes to routes, parameters, or responses. When a change is detected, DocStar flags the drift and drafts a fix for your approval, linking it to the relevant pull request. Furthermore, if an agent using your MCP server encounters missing or incorrect documentation, it automatically files an issue, providing the exact question it couldn't answer. DocStar also offers analytics, showing human and agent traffic, top questions, failed searches, and popular endpoints across all documentation channels. The platform supports custom domains, branded MCP servers, and branded CLIs, allowing you to maintain your brand identity while DocStar operates in the background. It offers a Free plan with unlimited pages and a full API docs workspace, with Pro and Enterprise plans available for growing teams and advanced needs.

  • CategoryAI DevOps & Cloud Tools
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsWeb

  • Agent-driven API documentation generation from code

  • Publishes interactive docs sites with try-it playgrounds

  • Generates llms.txt and markdown for AI models

  • Hosts MCP servers for agent API interaction

  • Creates CLIs with endpoints as commands

  • Keeps documentation in sync with code changes

  • Detects and drafts fixes for documentation drift

  • Agents report missing or incorrect documentation

  • Supports custom domains and branding across all channels

  • Provides analytics on human and agent traffic

  • No OpenAPI file required for initial generation

  • Import existing OpenAPI, Swagger, or Postman files

  • Export docs to OpenAPI 3 at any time

  • Real-time collaborative editing

  • Built-in AI assistant

  1. Copy Prompt: Paste the setup prompt into your coding agent (e.g., Claude Code, Cursor, Codex) opened in your API's repository.

  2. Agent Reads Code: Your agent reads your API's routes, identifying endpoints, authentication, parameters, bodies, and responses.

  3. Approve Plan: Review the documentation plan proposed by your agent, including modules and endpoints, and approve it.

  4. DocStar Publishes: DocStar publishes your API docs, llms.txt, markdown, MCP server, and CLI live.

  5. Maintain Sync: DocStar watches your repository for code changes and drafts documentation updates for your approval.

  6. Monitor Usage: Use agent analytics to see how people and agents interact with your API documentation.

  • Automated API Documentation
  • Agent-Friendly API Access
  • Developer Portal Creation
  • CLI Generation for APIs
  • Maintaining Documentation Sync
  • API Integration for AI Tools
  • Onboarding Developers and Agents

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