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Documentation.AI

Documentation.AI is an AI-native documentation and knowledge base platform where an agent keeps docs fresh as your product changes, an in-docs assistant answers reader questions, and content is structured for both humans and AI via llms.txt and MCP.

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Documentation.AI is an AI-native documentation and knowledge base platform for creating, maintaining, and publishing docs built for both humans and AI. A Documentation Agent drafts, rewrites, and formats content and monitors product changes, support signals, and user feedback to surface pages that are out of date before users notice, while an in-docs AI Assistant answers reader questions with citations.

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Content is cleanly structured for LLM retrieval and exposed to AI tools through an auto-generated llms.txt and MCP servers, including a Reader MCP server for customers' tools and an Authoring MCP server that lets Cursor or Claude Code inspect files, update pages, and deploy. You can write in a visual web editor with branches and previews or use docs-as-code with Markdown and MDX in your own Git repository with bidirectional sync, and both can work on the same project.

The platform generates API reference pages from an OpenAPI spec, complete with parameter docs, multi-language request examples, response examples, and a live playground. It publishes fast, customizable sites on your own domain with public, password-protected, and private access modes over JWT or OAuth, plus SSO for enterprise. Analytics highlight low-confidence AI answers and the pages worth fixing.

Importantly, the AI never publishes without review: the agent proposes drafts, rewrites, and updates as summaries and commits that a team member approves. Migrations from Mintlify, GitBook, ReadMe, Docusaurus, and others move content as files, and the tool offers a free Starter plan plus paid tiers with more seats, private docs, and higher AI usage.

  • CategoryAI Knowledge Management
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsWeb

  • Documentation Agent that keeps docs fresh and proposes updates for review

  • In-docs AI Assistant that answers reader questions with citations

  • Content structured for LLM retrieval with auto-generated llms.txt

  • Reader and Authoring MCP servers for AI tools like Cursor and Claude Code

  • Visual web editor plus docs-as-code with Markdown, MDX, and Git sync

  • Auto-generated API reference from OpenAPI with a live playground

  • Public, password-protected, and private access with JWT, OAuth, and SSO

  • Analytics that surface low-confidence answers and pages worth fixing

  1. Start free: Sign up for the Starter plan with no credit card and go live in minutes.

  2. Add your content: Import existing docs as Markdown and MDX or migrate from another platform, and import OpenAPI specs for API pages.

  3. Write with the agent: Draft and edit in the web editor or your Git repo with AI assistance and live context from your repositories and issues.

  4. Keep docs current: Let self-updating workflows monitor product changes and propose edits for your review.

  5. Publish and expose to AI: Publish on your own domain and let the assistant, llms.txt, and MCP make docs readable to AI tools.

  • Self-updating docs
  • API documentation
  • In-docs support
  • AI-ready knowledge base
  • Docs migration

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