Klavis provides LLM-accessible tools (powered by Mintlify) that you can plug locally in your coding assistant (Cursor, Windsurf, Claude Desktop, etc.) to speed up your local development. There are two options:
  • An MCP server that can directly query this documentation, ensuring your coding assistant receives real-time information about available commands and features.
  • An llms-full.txt text file with the entire documentation compiled and formatted for LLMs
Alternatively you can also use the native AI assistant built into this documentation portal.

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Option 1: Install the MCP server

Open a terminal and run the following command to install the MCP server locally: 
npx mint-mcp add klavisai
Everything will be set up automatically. Klavis MCP Server Setup
You can also use the remote MCP server for Klavis documentation at https://docs.klavis.ai/mcp. To connect directly from your IDE, update your mcp.json like below:
"klavisai": {
  "url": "https://docs.klavis.ai/mcp"
}

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Option 2: Copy-paste llms-full.txt

You’ll find a llms-full.txt file at the root level of this documentation. It is a compiled text document designed to provide context for LLMs. Copy the following content and paste it in the prompt for your coding assistant: https://docs.klavis.ai/llms-full.txt

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Option 3: Use the documentation’s built-in assistant

This documentation portal has a built-in AI assistant. Simply click “✨Ask AI” at the top of any page to use it. Ask AI Assistant