React Patterns MCP Server
Provides React design and rendering patterns from patterns.dev as MCP tools and resources for Claude Code.
README
React Patterns MCP Server v2
A comprehensive MCP (Model Context Protocol) server that teaches and applies React architecture, design patterns, and best practices — covering everything from patterns.dev/react.
Built in TypeScript / Node.js for use with Claude Code.
Features
| Category | Tools |
|---|---|
| Pattern Reference | All patterns.dev/react patterns with full details, comparisons, recommendations |
| Code Analyzer | Detect anti-patterns and suggest refactors in existing React code |
| Template Engine | Ready-to-use TypeScript code templates per pattern |
| Scaffold | Generate project skeleton based on architecture + patterns |
| Architecture Doc | ADR generator that recommends patterns for your project |
| Live Docs | Fetch docs.react.dev + React version-aware API guidance |
| Mobile | Tailwind responsive patterns + React Native layouts |
| Memory | Persist project state between sessions |
| Task Planner | Break goals into parallelisable subtasks for Claude subagents |
| Token Optimizer | Compress outputs, manage response cache |
Covered Patterns
🎨 Design Patterns
| ID | Pattern |
|---|---|
hoc-pattern |
Higher-Order Component (HOC) |
hooks-pattern |
Hooks Pattern |
compound-pattern |
Compound Pattern |
container-presentational-pattern |
Container / Presentational |
render-props-pattern |
Render Props |
observer-pattern |
Observer / Pub-Sub (Zustand) |
provider-pattern |
Provider (React Context) |
prototype-pattern |
Prototype / Object Pool |
module-pattern |
Module / Feature Slice |
singleton-pattern |
Singleton (API clients, stores) |
⚙️ Rendering Patterns
| ID | Pattern |
|---|---|
client-side-rendering |
CSR (Vite SPA, dashboards) |
server-side-rendering |
SSR (Next.js per-request) |
static-rendering |
SSG (Next.js build-time) |
incremental-static-rendering |
ISR (stale-while-revalidate) |
progressive-hydration |
Progressive Hydration |
streaming-ssr |
Streaming SSR |
react-server-components |
RSC (Next.js App Router) |
selective-hydration |
Selective Hydration (React 18) |
⚡ Performance Patterns
| ID | Pattern |
|---|---|
dynamic-import |
Dynamic Import / Code Splitting |
import-on-visibility |
Import on Visibility (IntersectionObserver) |
import-on-interaction |
Import on Interaction (defer until click/hover) |
route-based-splitting |
Route-Based Code Splitting |
bundle-splitting |
Bundle Splitting / Vendor Chunking |
tree-shaking |
Tree Shaking (dead-code elimination) |
preload |
Preload Critical Resources |
prefetch |
Prefetch Next-Page Resources |
prpl-pattern |
PRPL Pattern (PWA loading strategy) |
Tool Reference
| Tool | Description |
|---|---|
list_all_patterns |
All patterns grouped by category |
list_performance_patterns |
Performance patterns only |
get_pattern |
Full detail + code example for a pattern |
compare_patterns |
Side-by-side comparison of 2–5 patterns |
find_pattern_for_use_case |
Describe a problem, get pattern recommendations |
ask_architecture_preference |
Call this first — shows architecture options |
scaffold_project |
Generate project skeleton |
analyze_code |
Detect anti-patterns in React code |
get_code_template |
Ready-to-use TypeScript code template |
generate_architecture_doc |
ADR — which patterns and why for your project |
fetch_react_docs |
Live fetch from docs.react.dev with version guidance |
save_memory / get_memory |
Persist and recall project context across sessions |
create_task_plan |
Break a goal into parallelisable subtasks |
compress_output |
Compress verbose responses to save tokens |
Installation
Prerequisites
- Node.js 20+
- npm or pnpm
Setup
git clone https://github.com/1beyza/react-patterns-mcp.git
cd react-patterns-mcp
npm install
npm run build
Add to Claude Code
In your project's .claude/mcp.json (or global ~/.claude/mcp.json):
{
"mcpServers": {
"react-patterns": {
"command": "node",
"args": ["/absolute/path/to/react-patterns-mcp/dist/index.js"]
}
}
}
Or run directly for testing:
npm run dev # tsx (no build needed)
Usage Workflows
New Project
1. create_task_plan — break the goal into subtasks
2. generate_architecture_doc — get pattern recommendations + ADR
3. scaffold_project — generate directory structure + setup commands
4. get_code_template — get starter code for each essential pattern
5. save_memory — persist architecture choices
Existing Project Improvement
1. analyze_code — detect issues and pattern opportunities
2. compare_patterns — compare alternatives
3. suggest_refactor — get a refactor plan toward a target pattern
4. get_code_template — get the target pattern's starter code
Quick Pattern Lookup
list_all_patterns — browse everything
get_pattern <id> — full details + code example
find_pattern_for_use_case — describe your problem, get recommendations
Architecture
react-patterns-mcp/
├── src/
│ ├── index.ts # MCP server entry — registers all tools
│ ├── tools/ # Tool layer — MCP tool handlers
│ │ ├── index.ts # Barrel export
│ │ ├── pattern-tools.ts # Pattern query / compare / recommend
│ │ ├── scaffold-tools.ts # Project scaffolding
│ │ ├── analyzer-tools.ts # Code analysis + refactor suggestions
│ │ ├── template-tools.ts # Code template retrieval
│ │ ├── architecture-tools.ts # ADR generation
│ │ ├── docs-tools.ts # Live React docs + version guidance
│ │ ├── mobile-tools.ts # Mobile / responsive patterns
│ │ ├── memory-tools.ts # Project state persistence
│ │ ├── task-planner-tools.ts # Subtask decomposition
│ │ └── token-optimizer-tools.ts # Output compression + cache
│ ├── data/ # Data layer — pure data, no MCP logic
│ │ ├── patterns.ts # All design & rendering pattern definitions
│ │ ├── templates.ts # Code templates per pattern
│ │ └── mobile-patterns.ts # Mobile responsiveness patterns
│ └── utils/ # Utility layer — shared functions
│ ├── validator.ts # Zod schemas for all tool inputs
│ ├── formatter.ts # Markdown output formatting
│ ├── cache.ts # TTL response cache
│ └── file-io.ts # Memory persistence (JSON files)
├── memory/ # Runtime project memory (gitignored)
├── dist/ # Compiled JavaScript output
├── package.json
├── tsconfig.json
└── README.md
Layer rules:
data/— pure data objects, no side effectsutils/— pure functions and shared helpers, no MCP awarenesstools/— MCP tool handlers; validate with Zod, call data/utils, return stringsindex.ts— MCP protocol binding only; no business logic
All MCP Tools
| Tool | Description |
|---|---|
list_all_patterns |
List all patterns with summaries |
list_design_patterns |
List design patterns only |
list_rendering_patterns |
List rendering patterns only |
get_pattern |
Full details + code example for a pattern |
compare_patterns |
Side-by-side comparison of 2–5 patterns |
find_pattern_for_use_case |
Describe your problem → get recommendations |
get_related_patterns |
Patterns related to a given pattern |
get_pattern_tradeoffs |
Quick pros/cons for a pattern |
scaffold_project |
Generate full project scaffold |
analyze_code |
Detect anti-patterns in React code |
suggest_refactor |
Refactor plan toward a target pattern |
get_code_template |
Get ready TypeScript code for a pattern |
list_templates |
List all available code templates |
generate_architecture_doc |
ADR with pattern recommendations |
fetch_react_docs |
Live docs.react.dev content |
get_react_version_guidance |
Version-specific API guidance |
get_mobile_pattern |
Mobile/responsive pattern details |
get_tailwind_responsive_cheatsheet |
Tailwind responsive design guide |
save_memory |
Persist project state to disk |
get_memory |
Retrieve saved project state |
clear_memory |
Delete project memory |
list_project_memory |
List all projects with saved state |
create_task_plan |
Break a goal into parallelisable subtasks |
compress_output |
Reduce token cost of verbose output |
get_cache_stats |
View response cache statistics |
clear_caches |
Clear all response caches |
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。