Next.js + React + Tailwind Assistant

Next.js + React + Tailwind Assistant

Provides comprehensive documentation search for Next.js 15+ and Tailwind CSS 3+, along with 27 production-ready Catalyst UI components and 13 design patterns for building modern web applications.

Category
访问服务器

README

Next.js + React + Tailwind Assistant MCP Server

Your comprehensive AI companion for building modern Next.js applications with React and Tailwind CSS.

Features

📚 Complete Documentation

  • Next.js 15+: App Router, Server Components, Server Actions, routing, data fetching
  • Tailwind CSS 3+: All utility classes, responsive design, dark mode, customization
  • Smart Search: Targeted results without overwhelming context

🎨 27 Catalyst UI Components

  • Production-ready TypeScript React components
  • Built with Tailwind CSS and Headless UI
  • Fully accessible, responsive, and customizable
  • Categories: forms, navigation, layout, feedback, data display

✨ 13 Design Patterns

Abstracted from 11 professional Next.js templates:

Visual Effects: Gradients, glows, animations, bento grids, decorative SVGs Component Library: Buttons, cards, badges, inputs, avatars, alerts, tooltips Color Systems: 8 palette strategies (Professional, SaaS, Bold, Minimal, Semantic, Dark Mode) Typography: Font systems, type scales, responsive patterns Layouts: App headers, auth pages, sidebars, overlay navigation Pages: Hero sections, pricing tables, blog layouts

All patterns include accessibility, performance, and dark mode support.

Installation

Via Smithery

npx @smithery/cli install @username/nextjs-react-tailwind-assistant --client claude

Manual Installation

  1. Clone the repository:
git clone https://github.com/CaullenOmdahl/Nextjs-React-Tailwind-Assistant.git
cd Nextjs-React-Tailwind-Assistant
  1. Install dependencies:
npm install
  1. Build the server:
npm run build

This will:

  • Build the MCP server using Smithery CLI → .smithery/index.cjs (1.67 MB)
  • Copy the content directory → .smithery/content/ (5.3 MB)

Development

npm run dev          # Start development server with hot reload
npm run inspector    # Launch MCP inspector for testing
npm run build        # Build production bundle
npm run watch        # TypeScript watch mode

Available Tools

  • search_nextjs_docs - Search Next.js documentation
  • search_tailwind_docs - Search Tailwind CSS utilities and concepts
  • get_nextjs_full_docs - Complete Next.js documentation (large)
  • get_tailwind_full_docs - Complete Tailwind documentation (large)
  • get_catalyst_component - Retrieve production-ready components
  • list_catalyst_components - Browse available components
  • list_patterns - Browse design patterns
  • get_pattern - Get detailed pattern implementations

Content Structure

content/
├── components/
│   └── catalyst/          # 27 TypeScript React components
├── docs/
│   ├── nextjs/           # Complete Next.js 15+ docs (2.9 MB)
│   └── tailwind/         # Complete Tailwind CSS docs (2.1 MB)
├── patterns/
│   ├── features/         # 6 feature patterns
│   ├── layouts/          # 4 layout patterns
│   └── pages/            # 3 page patterns
└── content-summary.json  # Catalog of all content

Deployment to Smithery

Important: Content Directory Deployment

The server requires the content/ directory (5.3 MB) to be available at runtime. Smithery deploys from your GitHub repository and includes files listed in package.json "files" array.

Deployment Process:

  1. Ensure content is committed to git:
git add content/
git commit -m "Add documentation and pattern content"
  1. Push to GitHub:
git push origin main
  1. Deploy to Smithery:
  • Smithery clones your repository
  • Runs npm install
  • Runs npm run build (which copies content to .smithery/content/)
  • Deploys the server

Note: The server uses process.cwd() + '/content' to locate files. When deployed to Smithery, the content directory from your repository should be available in the working directory.

Troubleshooting Deployment

If you get a 500 error on Smithery:

  1. Verify content is in repository:
git ls-files content/ | wc -l  # Should show files
du -sh content/                # Should show ~5.3M
  1. Check package.json "files" array includes "content":
"files": ["dist", "content", "icon.png", "icon.svg"]
  1. Ensure build copies content:
npm run build
ls -la .smithery/content/  # Should show content directory
  1. Test locally:
cd .smithery && node index.cjs
# Should start without errors

Architecture

Module System

  • ES Modules only ("type": "module" in package.json)
  • All imports use .js extensions for TypeScript files
  • No CommonJS

Security Features

  • Input validation with regex patterns (alphanumeric + -_. only)
  • Path sanitization to prevent ../ traversal
  • Base path boundary checking
  • File size limits (3MB for docs, 1MB for components)
  • Safe error messages (no internal details exposed)

Caching

  • LRU cache with 5-minute timeout
  • Cache keys use full resolved file paths
  • Improves performance for repeated documentation queries

License

MIT

Credits

  • Design patterns abstracted from professional Next.js templates
  • Catalyst components from Tailwind Labs
  • Documentation from official Next.js and Tailwind CSS sources

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选