A token-friendly local MCP server that provides DaisyUI component documentation to AI assistants.
daisyui-mcp is easy to set up with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view birdseyevue/daisyui-mcp --webOpen the official README and confirm the supported install method.
Add the server entry to your MCP client config.
Restart your agent and verify that the server tools appear.
Repository setup guidance
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 60 days ago.
79 GitHub stars indicate community interest.
0 open issues signal maintenance load.
Extract any website's complete design system with one command.
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Generate design system documentation for UI components directly from your AI agent, rendering into Figma or portable .md files.
This tool helps AI coding assistants understand and use DaisyUI components. It stores documentation locally and gives the AI only the information it needs, saving tokens. You can also add your own components or update the docs.
DaisyUI MCP is a local Model Context Protocol (MCP) server that serves DaisyUI component documentation to AI assistants. It fetches the official docs from daisyui.com/llms.txt and stores them as markdown files locally. The server exposes two main tools: list_components (lists all components with descriptions) and get_component (returns full documentation for a specific component). This design is token-efficient because it only provides relevant context on demand. The tool is built with FastMCP for performance and supports customization—you can edit existing docs or add your own components. It also includes Docker support for easy deployment. Note: The author recommends using DaisyUI's official Skills for new projects, but this tool remains functional for existing setups.
A token-friendly local MCP server that provides DaisyUI component documentation to AI assistants.
Frontend developers using DaisyUI and AI coding assistants., Developers building custom AI agent tools for UI generation., Teams wanting to standardize component usage across AI workflows.
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
The repository is no longer actively maintained; the author recommends using official DaisyUI Skills. Documentation may become outdated if not manually updated.
Similar or complementary options to evaluate include design-extract, Argos, uSpec.
Aug 20, 2026
MIT license detected.
3 security/trust notes recorded.
Setup difficulty is 2/5.
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