 
  
  
 <body class="flex min-h-screen items-center justify-center bg-base-200">
    <div class="card w-96 bg-base-100 card-border">
      <div class="card-body">
        <h2 class="mb-4 card-title text-2xl font-bold">Login</h2>
        <form>
          <!-- Email Input -->
          <div class="mb-4">
            <label class="mb-2 block text-sm font-medium">Email</label>
            <input type="email" class="validator input input-md w-full"
              placeholder="[email protected]" required />
            <div class="validator-hint hidden text-sm">Please enter a valid email address</div>
          </div>
          <!-- Password Input -->
          <div class="mb-4">
            <label class="mb-2 block text-sm font-medium">Password</label>
            <input type="password" class="validator input input-md w-full" 
              placeholder="Enter your password" required minlength="8" />
            <div class="validator-hint hidden text-sm">Password must be at least 8 characters</div>
          </div>
          <!-- Remember Me & Forgot Password -->
          <div class="mb-6 flex items-center justify-between">
            <label class="flex cursor-pointer items-center gap-2">
              <input type="checkbox" class="checkbox checkbox-sm" />
              <span class="text-sm">Remember me</span>
            </label>
            <a href="#" class="link text-sm link-hover">Forgot password?</a>
          </div>
          <!-- Submit Button -->
          <div class="card-actions">
            <button type="submit" class="btn btn-block">Login</button>
          </div>
        </form>
        <!-- Sign up link -->
        <div class="mt-4 text-center">
          <span class="text-sm">Don't have an account? </span>
          <a href="#" class="link text-sm link-hover">Sign up</a>
        </div>
      </div>
    </div>
  </body>




If you open an LLM and simply ask for UI code, you're probably going to get broken, outdated or mediocre results. But why is that?
To generate a good looking UI, LLM needs:
MCP (Model Context Protocol) is an API protocol for AI to get accurate, reliable context information on demand, instead of guessing or searching through irrelevant data everytime.
The official daisyUI Blueprint MCP server provide real-time context to the LLM, using MCP tools, MCP prompts and MCP resources.
No more guessworks, no hallucinations, no outdated syntax.
It increases code quality, because LLM gains access to the correct context right away instead of reading a big llms.txt file or searching the web for random pages, or guessing the results based on outdated info.
Providing the right context at the right time means fast, efficient, and accurate results. The LLM receives exactly what it needs, which means faster code generation and less token usage.
Blueprint MCP server provides curated resources to your LLM
This will guarantee an accurate and efficient result, without guessworks or hallucinations.







 
  
  
  
  
  
 
Blueprint MCP server provides curated daisyUI code snippets to your LLM
Including:
It also provides actual picture of the components to help the LLM better understand the design system, and generate a more accurate code.




Blueprint MCP server provides specific details about each component. Including dimensions spacing variants variables and more
This helps the LLM to better understand the design system and generate a higher quality UI. Knowing the exact size of components, their variants and how they they look like in practice, the LLM can make more informed decisions when generating code instead of guessing the styles just by looking at the name of the component.
Blueprint MCP server can generate a daisyUI code based on a figma design.
This is done by processing the properties of the design elements, their styles, and layout from Figma API to LLM along with daisyUI component details so LLM can map the design to the closest daisyUI components.
This works with any UI made with Figma, whether if you used the official daisyUI Figma library or not. AI will understand the context of the elements and generate the closest possible daisyUI code.
For example if have a login form in Figma made with Material design, AI will still be able to generate the equivalent daisyUI code for it!
The accuracy of the generated code depends on the complexity of the design. 
 For best result, convert smaller pieces of the design at a time, instead of the whole page.
Attach a picture and receive daisyUI code!
This is a detailed prompt that generates daisyUI + Tailwind CSS code from a screenshot.
The prompt guides the AI to analyze the screenshot, identify UI components, and generate the corresponding daisyUI code using existing daisyUI components which will be received from daisyUI Blueprint MCP server.
This works with any screenshot of a web UI, whether it's from a design tool, a live website, or a mobile app. AI will understand the context of the elements and generate the closest daisyUI code.
The accuracy of the generated code depends on the clarity and complexity of the
            screenshot. 
 For best result, use smaller parts of the UI instead of a full-page screenshot.
Convert existing Tailwind CSS code to daisyUI components effortlessly!
This is a detailed prompt provided by Blueprint MCP server that helps AI to analyze existing Tailwind CSS code blocks, identify UI components, that can be replaced with daisyUI components, then it uses daisyUI MCP server to get the required components and finally generates the updated code with daisyUI components.
This works best with well-structured Tailwind CSS code and clear design specifications. For really complicated parts of your HTML, adding comments to the code can also help the AI understand the semantics better and produce more accurate results.
Convert existing Bootstrap code to daisyUI components effortlessly!
This is a detailed prompt provided by Blueprint MCP server that helps AI to analyze existing Bootstrap code blocks, identify UI components, that can be replaced with daisyUI components, then it uses daisyUI MCP server to get the required components and finally generates the updated code with daisyUI components.
This works best with well-structured Bootstrap code and clear design specifications. For really complicated parts of your HTML, adding comments to the code can also help the AI understand the semantics better and produce more accurate results.
Are you bad at color palettes? It was never easier to generate a custom daisyUI theme!
Attach any picture that you like its colors, and the AI will extract the color palette for you.
Then daisyUI MCP server will generate a custom daisyUI theme based on the extracted colors.
Blueprint MCP server includes layout examples and code blocks for useful design patterns.
For example if you're making a dashboard, Blueprint MCP will look into the possible layout structures and provide you the one that best fits your UI. And then it fills the layout with the appropriate daisyUI components.
Additonally, there are code blocks for combination of different UI pieces. For example, a responsive navbar with a button, a menu and a dropdown. It can be challenging to connect them all together, but Blueprint MCP provides ready-to-use code snippets to help you.
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| daisyUI BLUEPRINT | daisyUI llms.txt | Context7 MCP | GitMCP | |
|---|---|---|---|---|
| daisyUI Official | ||||
| Fine-tuned for daisyUI | Impossible to fine-tune | Impossible to fine-tune | ||
| Data source | Authored & verified | Authored & verified | AI generated | AI generated | 
| Resource accuracy | 100% accurate | 100% accurate | Confuses random repos | Confuses random pages | 
| Includes unwanted context | No | Depends on the LLM | Yes | Yes | 
| daisyUI Design system specs | ||||
| Converts Figma to daisyUI | ||||
| Converts Tailwind CSS to daisyUI | ||||
| Converts Bootstrap to daisyUI | ||||
| Generates themes from an image | ||||
| Provides component pictures to AI | ||||
| Generates AI slop | Less likely | depends on the LLM | More likely | More likely | 
| Updates | 100% Synced with daisyUI | 100% Synced with daisyUI | Depends on a crawler | Depends on a crawler | 
| Token usage efficiency | Super efficient | Not efficient | Wastes token on useless context | Wastes token on useless context | 
If you have any questions before purchase 
send me an email to [email protected] 
I will do my best to help you.
 
  
 