GitBook is a documentation platform where teams create, maintain and now query technical docs with AI — including a knowledge layer designed for both humans and AI agents.
GitBook turns documentation into a living product. Its editor combines rich content with git-synced workflows, so docs live alongside code and updates flow through pull requests. AI features include writing assistance, automatic changelog summaries and a “GitBook AI” search that answers questions from your docs directly — increasingly used as a knowledge source for LLM agents via its MCP and open APIs.
The platform handles beautiful publishing out of the box: custom domains, versioning, analytics and access control. For developer-focused companies, GitBook has become the standard for API references and product documentation that stays current.
GitBook’s editing model merges structured content with git workflows: docs sync with repositories and updates flow through pull requests, keeping documentation versioned alongside code. Publishing handles custom domains, access control and analytics, while AI search answers reader questions from your content. Its open knowledge layer — with MCP support and APIs — increasingly serves as a source for AI agents and applications that need trustworthy product knowledge.
GitBook is free for open-source and small teams; paid plans add private spaces, custom domains, advanced permissions and enterprise features.
Developer-focused companies that treat documentation as a product surface for both users and AI agents.
Yes, generous free plans cover open source and small teams; business features are paid.
Yes — GitBook exposes open APIs and MCP support, making documentation accessible to apps and agents.
Its git integration and AI-ready knowledge layer differentiate it from classic wiki-style doc tools.
Yes — GitBook supports git sync so documentation lives in your repository and changes ship through pull requests.
GitBook has invested in making documentation usable by machines as well as humans. Its knowledge layer exposes content through open APIs and MCP (Model Context Protocol) support, letting AI assistants and agents query your documentation directly. Many teams now connect their support chatbots to GitBook so answers reflect current product documentation. Meanwhile, git sync and structured content keep the docs maintainable by humans, creating a single source of truth that serves readers, search engines and AI systems at once.
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