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ai-native.mdx

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title: "AI-native"
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description: "Learn how AI enhances reading, writing, and discovering your documentation"
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keywords: ["AI", "assistant", "agent", "llms.txt", "MCP"]
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When you host your documentation on Mintlify, built-in AI features help your users find answers and your team maintain content more efficiently. Your content provides the context for these AI-native features to improve the experiences of reading, writing, and discovering your documentation.

ai/agent.mdx

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title: "Agent"
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description: "The agent helps you write and maintain documentation"
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description: "Automate documentation updates with the agent. Create pull requests from Slack messages, PRs, or API calls."
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keywords: ["automation", "automate", "Slack integration", "maintenance"]
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<Info>

ai/assistant.mdx

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title: "Assistant"
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description: "Help users succeed with your product and find answers faster"
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description: "Add AI-powered chat to your docs that answers questions, cites sources, and generates code examples."
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keywords: ["chat", "RAG", "user support"]
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<Info>
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## About the assistant
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The assistant answers questions about your documentation through natural language queries. It is embedded directly in your documentation site, providing users with immediate access to contextual help.
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The assistant answers questions about your documentation through natural language queries. It is embedded directly in your documentation site, so users can find answers quickly and succeed with your product.
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The assistant uses agentic RAG (retrieval-augmented generation) with tool calling powered by Claude Sonnet 4. When users ask questions, the assistant:
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The assistant uses agentic RAG (retrieval-augmented generation) with tool calling powered by Claude Sonnet 4.5. When users ask questions, the assistant:
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* **Searches and retrieves** relevant content from your documentation to provide accurate answers.
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* **Cites sources** and provides navigable links to take users directly to referenced pages.

ai/contextual-menu.mdx

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title: "Contextual menu"
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description: "Add one-click AI integrations to your docs"
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description: "Add one-click AI integrations to your docs."
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keywords: ["AI tools", "ChatGPT", "Claude", "Perplexity", "MCP"]
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import { PreviewButton } from "/snippets/previewbutton.jsx"

ai/llmstxt.mdx

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title: "llms.txt"
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description: "Make your content easier for LLMs to read and index"
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description: "Optimize your docs for LLMs to read and index."
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keywords: ["llms.txt", "LLM indexing", "AEO", "GEO", "content discovery"]
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import { PreviewButton } from "/snippets/previewbutton.jsx"

ai/markdown-export.mdx

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title: "Markdown export"
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description: "Quickly get Markdown versions of pages"
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description: "Quickly get Markdown versions of pages for AI tools and integrations."
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keywords: ["markdown", "token efficiency", "AI processing"]
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import { PreviewButton } from "/snippets/previewbutton.jsx"

ai/model-context-protocol.mdx

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title: "Model Context Protocol"
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description: "Let users access your docs and APIs through their favorite AI tools"
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keywords: ["mcp"]
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description: "Connect your documentation and API endpoints to AI tools with a hosted MCP server."
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keywords: ["MCP", "AI tools", "Claude", "Cursor"]
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import { PreviewButton } from "/snippets/previewbutton.jsx"

ai/slack-app.mdx

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title: "Slack app"
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description: "Add a bot that searches your docs to answer questions in your Slack workspace"
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description: "Add a bot that searches your docs to answers questions in your Slack workspace."
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keywords: ["Slack bot", "workspace", "questions"]
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<Info>

api-playground/adding-sdk-examples.mdx

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title: "Adding SDK examples"
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description: "Display language-specific code samples alongside your API endpoints to show developers how to use your SDKs"
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description: "Display SDK code samples in your API documentation."
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keywords: ["x-codeSamples", "SDK examples"]
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If your users interact with your API using an SDK rather than directly through a network request, you can use the `x-codeSamples` extension to add code samples to your OpenAPI document and display them in your OpenAPI pages.
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title: "Playground"
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description: "Enable users to interact with your websockets"
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description: "Enable users to interact with your websockets."
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asyncapi: "/asyncapi.yaml channelOne"
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