Thally
Comparison

· 7 min read

Thally vs Mintlify: which docs platform is built for AI agents?

Both render beautiful MDX docs. The differences are ownership, self-hosting, and how deeply AI agents can read your docs. A fair, side-by-side comparison.

By the Thally team

The short answer: choose Thally if you want to own your docs infrastructure and serve AI agents natively; choose Mintlify if you want a fully managed, hosted platform and never want to think about deployment. Both render polished MDX documentation. The differences are ownership, machine readability, and what happens when your product changes.

What both platforms do well

Mintlify and Thally solve the same surface problem: beautiful developer documentation written in MDX, with API references generated from OpenAPI specs, full-text search, and AI chat over your content. If your only requirement is "good-looking docs, fast," either will get you there.

The comparison gets interesting one level down.

The comparison at a glance

ThallyMintlify
Source modelDocs-as-code, a Next.js repo you ownDocs-as-code on a hosted platform
LicenseMIT, open sourceProprietary platform
Self-hostingYes, free foreverNo, platform is hosted
Machine outputJSON, JSON-LD, Markdown, and HTML from the same URLHTML-first; AI features via the hosted platform
MCP serverBuilt into every deploy at /api/mcpAvailable through the hosted platform
llms.txtGenerated on every buildSupported
Docs automationDocs agent opens reviewed PRs from product changesAI-assisted writing in the editor
Pricing modelFree self-hosted; Cloud from $8 per editor/monthTiered hosted plans; see their pricing page
Vendor lock-inNone; static export any timeContent is portable, platform is not

Mintlify moves quickly and its capabilities evolve; treat their current documentation as the source of truth for their side of this table.

Ownership: a repo versus a platform

A Thally site is a Next.js repository. You can read every line that serves your docs, deploy it to Vercel, Netlify, Cloudflare, Docker, or a static bucket, and leave whenever you want with a working site in hand. The engine is MIT licensed, so self-hosting is free forever, commercial use included.

Mintlify hosts the platform for you. That is genuinely valuable: zero infrastructure, zero upgrades, a support team on call. The trade is that the rendering pipeline, hosting, and roadmap belong to the vendor. Your content stays portable; your site does not.

Which trade is right depends on your team. Regulated companies and infrastructure-minded teams tend to want the repo. Small teams that would rather never see a deploy log tend to want the platform.

Machine readability: the widening gap

This is the axis where the two products differ most. Every page a Thally site publishes is available in four formats from the same URL: rendered HTML for people, and JSON, JSON-LD, or Markdown for machines, selected by an Accept header or a ?format= parameter. There is no scraping step. An agent asks for structure and receives structure.

On top of that, every deploy ships:

  • an MCP server at /api/mcp, so agents can call search_docs, read_page, and list_pages as native tools
  • llms.txt and per-page agent manifests for discovery
  • an agent-readiness score, a deterministic 0 to 100 grade you can gate CI on

Mintlify has been adding AI capabilities to its hosted platform as well, including assistant features and agent-facing improvements. The structural difference is that Thally's machine layer is part of the open-source engine itself, so it works identically on a self-hosted deploy behind your firewall.

When the product changes

Documentation rots at the moment your product moves. The two platforms answer this differently.

Thally treats drift as a first-class problem. Mention @thally document this on any GitHub issue or PR and the docs agent drafts a documentation pull request. Connect a repo with Thally Track and merged product PRs become reviewed docs PRs automatically. The weekly drift sweep flags pages whose source code changed since they were last verified. Nothing merges without a human.

Mintlify's AI helps you write and edit within the platform. It is a strong authoring assistant; it is not a pipeline from your product repo to a reviewed docs PR.

Pricing

Thally is free to self-host with unlimited pages and readers. Thally Cloud is $8 per editor per month ($60 per editor per year billed annually) and adds managed hosting, Thally AI answers, Track, readiness CI checks, and the admin dashboard. Enterprise is $15 per editor per month with SSO, audit logs, and a 99.9% SLA. Readers are never billed. Full details are on the pricing page and in the machine-readable pricing.md.

Mintlify prices its hosted tiers separately; their pricing page is the source of truth.

Which should you choose?

Choose Thally if:

  • you want AI agents to read your docs natively, without scraping
  • self-hosting, MIT licensing, or data residency matters to you
  • you want product changes to become reviewed docs PRs automatically
  • you want to gate CI on documentation quality

Choose Mintlify if:

  • you want a fully managed platform with no infrastructure at all
  • your team prefers a vendor-operated editor and support relationship
  • self-hosting is a non-goal

Migrating takes one command

If you decide to switch, the migrator does the heavy lifting:

npx create-thally migrate github.com/acme/docs

It detects the source platform, converts every page to clean MDX, rebuilds navigation, carries redirects, and wires up your OpenAPI spec. You get a running local preview before you change a single DNS record. Start free or read more in the FAQ.

Frequently asked questions

Can I migrate from Mintlify to Thally?
Yes. Run npx create-thally migrate against your docs repo and the migrator converts pages to clean MDX, rebuilds navigation, carries redirects, and wires up your OpenAPI spec. Most migrations finish in minutes.
Is Thally really free to self-host?
Yes. The whole engine is MIT licensed, including commercial use, with unlimited pages and readers. Paid plans add managed hosting, Thally AI, Track, and team features, never the core.
Does Mintlify support MCP or llms.txt?
Mintlify has been adding AI features to its hosted platform, and support evolves quickly. Check their current documentation. Thally ships an MCP server, llms.txt, and per-page JSON on every deploy, self-hosted included, by default.

See your docs the way an agent sees them.

Free to self-host forever. Readers are never billed.