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<script> import SEO from "$components/SEO.svelte" import Translate from "$components/Translate.svelte" </script>

<SEO title="daisyUI MCP server for VSCode Copilot" desc="Setup VSCode Copilot to correctly generate daisyUI code based on your prompt." />

<div class="breadcrumbs text-sm not-prose opacity-40"> <ul> <li><a href="/docs/mcp/">MCP setup guides</a></li> <li>VSCode Copilot</li> </ul> </div> <h1>daisyUI MCP server for VSCode Copilot</h1> <p>Setup VSCode Copilot to correctly generate daisyUI code based on your prompt.</p>

MCP is a an API to communicate with AI models. You can add MCP servers and VSCode Copilot will communicate with them to get more accurate results.

There are 3 options:

  1. Blueprint: The Official MCP server from daisyUI (Recommended for best results)
  2. Context7: Free 3rd party MCP server
  3. daisyUI GitMCP: Free 3rd party MCP server
<div class="tabs tabs-lift max-sm:tabs-sm"> <input type="radio" name="mcp_options" class="tab" aria-label="Blueprint" checked /> <div class="tab-content bg-base-100 border-base-300 px-12 py-3">

daisyUI Blueprint

Blueprint is the official MCP server for daisyUI. Read more about Blueprint.

  1. Get a Blueprint License
  2. In VS Code press <kbd class="kbd kbd-sm">⌘ CMD</kbd> + <kbd class="kbd kbd-sm">⇧ Shift</kbd> + <kbd class="kbd kbd-sm">P</kbd> ( Or <kbd class="kbd kbd-sm">Ctrl</kbd> + <kbd class="kbd kbd-sm">Shift</kbd> + <kbd class="kbd kbd-sm">P</kbd> )
  3. Search for MCP: Open User Configuration
  4. Add this and set your license key + email address in it Figma API Key is optional - Only needed for Figma-to-code conversion
diff:mcp.json
{
  "servers": {
+   "daisyui-blueprint": {
+     "type": "stdio",
+     "command": "npx",
+     "args": ["-y", "daisyui-blueprint@latest"],
+     "env": {
+       "LICENSE": "YOUR BLUEPRINT LICENSE KEY",
+       "EMAIL": "YOUR EMAIL ADDRESS",
+       "FIGMA": "YOUR FIGMA API KEY (optional)"
+     }
+   }
  }
}

Usage

Now you can ask AI anything about daisyUI, and write use Blueprint MCP at the end of your prompt.
For example:

md:prompt
give me a light daisyUI 5 theme with tropical color palette. use Blueprint MCP
</div> <input type="radio" name="mcp_options" class="tab" aria-label="Context7" /> <div class="tab-content bg-base-100 border-base-300 px-12 py-3">

Option 1. Setup Context7 MCP server for VSCode

Click this button to install Context7 MCP server in VSCode:

<a href="vscode:mcp/install?%7B%22name%22%3A%22context7%22%2C%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40upstash%2Fcontext7-mcp%40latest%22%5D%7D" class="btn">

Install Context7 MCP </a>

Option 2. Setup Context7 MCP server for current workspace only

  1. Create a .vscode/mcp.json file in your project root if it doesn't exist.
  2. Add Context7 MCP server:
diff:.vscode/mcp.json
{
  "servers": {
+   "context7": {
+     "type": "stdio",
+     "command": "npx",
+     "args": [
+       "-y",
+       "@upstash/context7-mcp@latest"
+     ]
+   }
  }
}

Usage

Now in Agent Mode you can ask AI anything about daisyUI. write use context7 at the end of your prompt.
For example:

md:prompt
give me a light daisyUI 5 theme with tropical color palette. use context7
</div> <input type="radio" name="mcp_options" class="tab" aria-label="GitMCP" /> <div class="tab-content bg-base-100 border-base-300 px-12 py-3">

Option 1. Setup daisyUI GitMCP server for VSCode

Click this button to install GitMCP server in VSCode:

<a href="vscode:mcp/install?%7B%22name%22%3A%22daisyUI%22%2C%22type%22%3A%22sse%22%2C%22url%22%3A%22https%3A%2F%2Fgitmcp.io%2Fsaadeghi%2Fdaisyui%22%7D" class="btn">

Install daisyUI GitMCP </a>

Option 2. Setup daisyUI GitMCP server for current workspace only

  1. Create a .vscode/mcp.json file in your project root if it doesn't exist.
  2. Add daisyUI GitMCP server:
diff:.vscode/mcp.json
{
  "servers": {
+   "daisyUI": {
+     "type": "sse",
+     "url": "https://gitmcp.io/saadeghi/daisyui"
+   }
  }
}

Usage

Now in Agent Mode you can ask AI anything about daisyUI.

md:prompt
give me a light daisyUI 5 theme with tropical color palette
</div> </div>