$0/month
- 5 editor seats
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Start here for the decision-making essentials: what Mintlify does, who it is for, how it is accessed, and the first-party sources behind this profile.
$0/month
AI-native documentation platform built for agents and developers, offering self-updating docs, embedded AI assistants, MCP server support, interactive API playgrounds, docs-as-code workflows, and enterprise deployment options including air-gapped on-prem.
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Short answers to the questions buyers and builders commonly ask about Mintlify. Each answer cites the shared ledger below, where every source is listed once.
Self-updating documentation for startups, enterprises, and agents · Embedded AI assistant that gives developers instant answers in the docs · Instant rollbacks to a known good deployment for Enterprise customers · CLI-based signup via 'mint signup' command that lets coding agents set up docs without a b
Self-updating documentation for startups, enterprises, and agents.
Startups, enterprises, and AI agents · Enterprise companies scaling customer and developer support, including AI-focused business
Self-updating documentation for startups, enterprises, and agents.
Docs-as-code workflows with preview deployments and a WYSIWYG editor · API documentation and developer portals for enterprise platform integrations · Modern help centers for customer onboarding and self-service support at scale
Mintlify simplified internal collaboration with docs-as-code workflows, preview deployments, and a WYSIWYG editor that enables more contributors to contribute updates with confidence.
llms.txt generation capped at 100,000 characters per file
Large documentation sites were hitting Mintlify's 100,000-character llms.txt limit and omitting pages.
MCP (Model Context Protocol) servers that integrate docs directly into developer workflows · AI-powered documentation generation directly from GitLab commits · Git-based editing with previews for cross-functional collaboration · Compatible with AI tools including Claude, Cursor, and ChatGPT (145 distinct AI tools fetc
MCP servers integrate docs directly into developer workflows.
Supports self-hosted, air-gapped on-prem deployments in addition to internal and external · White-glove migration support for customers moving from legacy documentation systems
fits inside its self-hosted, locked-down environment
This profile connects the jobs Mintlify is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
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HTTP 200 verified twice
Mintlify - The Knowledge Platform Built for Agents
Positioned as 'The Knowledge Platform Built for Agents' · Provides self-updating documentation for startups, enterprises, and agents · Embedded AI assistant delivers instant, contextual answers
The Knowledge Platform Built for Agents
Self-updating documentation for startups, enterprises, and agents
Startups, enterprises, and AI agents
Embedded AI assistant that gives developers instant answers in the docs
MCP (Model Context Protocol) servers that integrate docs directly into developer workflows
AI-powered documentation generation directly from GitLab commits
Supports self-hosted, air-gapped on-prem deployments in addition to internal and external instances
Multi-deployment architecture with per-audience access control and SSO support for separate internal/air-gapped/external instances
Instant rollbacks to a known good deployment for Enterprise customers
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Showing the newest updates and meaningful milestones. Open an entry for its summary and source.
July 2026 release added an embeddable Mintlify widget for external sites, CLI account creation via 'mint signup', HTTP code-block syntax highlighting, an Impressions analytics section, organization-level shared credit balances, and made the redesigned editor t
View source [13]Mintlify launched a browser-based collaborative editor that adds WYSIWYG editing, slash commands for components, and in-editor navigation editing, while preserving the git-native CLI workflow by syncing each visual edit as a commit.
View source [23]Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
CLI-based signup via 'mint signup' command that lets coding agents set up docs without a browser
Docs-as-code workflows with preview deployments and a WYSIWYG editor
llms.txt generation capped at 100,000 characters per file
Interactive API playground where developers can test trade submissions and market queries directly in the docs
AI assistant that keeps developers in a self-serve flow instead of opening support tickets
OpenAPI-driven reference with CI/CD keeping docs in sync with releases
Docs-as-code workflow that ships updates in minutes
Automated CI and style linting to keep documentation consistent and error-free
llms.txt support that makes API docs machine-readable for AI agents and coding tools
Multi-level navigation to organize dozens of APIs without overwhelming users
Native password protection, localization, and interactive API reference without additional engineering lift
Git-based editing with previews for cross-functional collaboration
White-glove migration support for customers moving from legacy documentation systems
API documentation and developer portals for enterprise platform integrations
AI-native documentation platform with built-in MCP servers and instant markdown exports for LLMs
Built-in AI assistant that delivers instant, contextual answers to users
Markdown exports of every page plus llms.txt for LLM ingestion
Interactive API playground for firing real API calls directly from documentation pages
Automatic SEO and AEO (Answer Engine Optimization) on documentation pages
Docs-as-code workflow for developers and collaborators
Customizable documentation branding to match company visual identity
Compatible with AI tools including Claude, Cursor, and ChatGPT (145 distinct AI tools fetched customer docs)
Model Context Protocol (MCP) server support for agent queries
Modern help centers for customer onboarding and self-service support at scale
Enterprise companies scaling customer and developer support, including AI-focused businesses
AI-native documentation platform built for developers, enterprises, and agents · Self-updating documentation for startups, enterprises, and agents · Interactive API playgrounds and smart search
Self-updating documentation platform for startups, enterprises, and agents
Knowledge platform with self-updating knowledge, access control, system integrations, and team/agent collaboration