Jamdesk is modern documentation software that handles building, deploying, and optimizing your docs. Build blazing-fast, AI-ready docs sites from MDX in your Git repo, with AI chat, analytics, and white labeling included.
Features
- AI-ready docs — built-in MCP server, llms.txt generation, full-site and per-page Markdown export, and SEO/GEO optimization so AI assistants can read and cite your docs
- MDX authoring — Markdown with 25+ embedded React components (cards, tabs, steps, callouts, Mermaid diagrams, code groups), plus LaTeX support
- Git-based publishing — push to GitHub for automatic builds and deployment, with a local dev server and hot-reload preview
- OpenAPI API docs — auto-generated reference from OpenAPI 3.0+ specs with an interactive playground and multi-language code examples
- AI-powered + full-text search — Cmd+K instant search, natural-language queries, and a Docs Search API
- Built-in analytics — visitors, page views, geographic heatmap, popular pages; privacy-focused (no cookies), plus 11+ integrations (GA, Plausible, PostHog, etc.)
- Custom branding & theming — 3 professional themes, custom logo/colors/fonts/CSS/JS, dark mode, and white-label on all plans
- Custom domains & subpath hosting — docs.yoursite.com or yoursite.com/docs with automatic SSL
- Fast by default — global CDN, optimized static builds, image optimization, Core Web Vitals optimized
- Developer tooling — CLI (dev, validate, broken-links, spellcheck, doctor), Mintlify migration, monorepo support, redirects, multi-language docs
- PDF export — export the entire docs site as a single PDF
Use Cases
A small SaaS startup has a REST API, a CLI, and no technical writer. They drop their OpenAPI spec and Markdown files into a GitHub repo, push, and Jamdesk auto-builds a branded docs site at docs.theirproduct.com — complete API reference with an interactive playground, multi-language code examples, and Cmd+K search. Because the site ships with a built-in MCP server and llms.txt, their customers' AI tools (Claude, Cursor, ChatGPT) can read the docs directly — so users get accurate answers inside their editor instead of filing support tickets. Built-in analytics show which pages get traffic and where the content gaps are, with no cookie banner needed.
Comments
Interesting product. One thing I'm struggling to understand: if tools like Claude Code can already read a codebase and generate documentation, why is automated AI documentation a separate product category? My concern is that AI-generated docs often contain mistakes, outdated assumptions, or miss important context, so many teams still want a human to review and edit the output before publishing. In that case, where do you see the biggest value coming from?
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Comments
Interesting product. One thing I'm struggling to understand: if tools like Claude Code can already read a codebase and generate documentation, why is automated AI documentation a separate product category? My concern is that AI-generated docs often contain mistakes, outdated assumptions, or miss important context, so many teams still want a human to review and edit the output before publishing. In that case, where do you see the biggest value coming from?
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