Ship self-updating documentation that is always accurate

People need to know how your product works. Your documentation is the first place they look to learn, and creates their first impression.

Today, a coding agent like Cursor, Claude, or Copilot often arrives before the developer does. It queries your content before writing code. Your docs are doing two jobs now: helping developers understand what's possible and giving AI tools the accurate context they need to help build it.

The companies developers love to build on treat their reference as a competitive asset. Mintlify makes your docs worthy of that role: always current, interactive, and built to be read by both humans and the agents working on their behalf.

Your documentation stays accurate, automatically

When you ship code, the Mintlify agent updates relevant documentation for you. You're in control of the workflow. Customize it for how your team works. Never worry about content drifting out of sync with the source of truth--your codebase.

Perplexity keeps their API reference current for thousands of developers building on their platform. Spec-synced docs mean every developer reads the version that matches what's actually deployed.

Developers try calls before writing any code

Every endpoint in the reference has a built-in playground. Developers authenticate, set parameters, fire a real request, and see a real response without leaving the page. A developer who can verify a call in thirty seconds reaches a successful integration faster than one who has to spin up a local environment first.

Kalshi added the API playground to their docs and saw developers move from reading to integrating faster, with fewer questions in their developer Slack before a first successful call. "Because prediction markets are an entirely new category," their team notes, "developer experience is critical to adoption."

AI coding tools give accurate answers

Every developer using Cursor, Claude, or Copilot to build with your product needs accurate, current context. On Mintlify, you deliver that context just how agents need it. MCP integration means AI tools query your docs as a live source rather than a cached snapshot.

"Today, humans talk to an agent that queries the site. The next step is an agent that finds the site and acts autonomously. Mintlify is the layer that makes both possible."

— Patrick Marsceill, Notion

Replit connects their documentation to AI coding tools via MCP, so agents working in Replit's environment can query the latest API reference directly.

Book a demo today to see how Mintlify can help you serve better context to agents.

Empower the people building with your product

When a developer has a question, give them a direct, cited answer drawn from your official documentation.

Loops uses Mintlify's AI assistant to handle developer questions directly in the docs. Their support team sees fewer "I couldn't find it in the docs" tickets.

"Mintlify is what you use when you can't afford for docs to cost you deals."

— Simon Wenet, Metronome

Docs as a competitive asset

Anthropic, Perplexity, and Stripe treat their API reference as a competitive asset: it's the first thing a developer encounters, before they ever touch the product.

"At Browserbase, our docs are the product. Documentation is where feature discovery starts and where understanding finishes."

Anthropic co-developed the llms.txt standard with Mintlify. 1.5M+ developers rely on Anthropic's docs monthly. "It was really impressive to see how fast we could ship our docs with Mintlify."

Anthropic. Coinbase. Microsoft. Perplexity. Stripe. Lovable. Kalshi. Metronome. Orb.

20,000+ companies. 50 million monthly readers.

Make the first impression count

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