kiro-frontend-engineer-mcp

kiro-frontend-engineer-mcp

An MCP server implementing a 7-stage agentic frontend workflow—from design audit to PR review—including AI-driven component generation, browser validation, E2E testing, and CI self-healing.

Category
访问服务器

README

kiro-frontend-engineer-mcp

A Model Context Protocol (MCP) server implementing a 7-stage agentic frontend workflow:

  1. Design Audit — Web design inspection checklist (accessibility, layout stability, edge cases)
  2. Component Blueprint — AI-driven component generation with full interactive states
  3. Best Practices — React/Next.js guidelines applied before code generation
  4. Browser Validation — Real browser run via kane-cli
  5. E2E Testing — Playwright test execution with pass/fail capture
  6. CI Self-Healing — Auto-fetch GitHub Actions failures and generate fixes
  7. PR Review Loop — Auto-resolve PR review comments

Quick Start — Add to Your Project

Option 1: Kiro (recommended)

Add this to your project's .kiro/settings/mcp.json:

{
  "mcpServers": {
    "frontend-engineer": {
      "command": "node",
      "args": ["<path-to-this-repo>/dist/index.js"]
    }
  }
}

Option 2: npx (after publishing to npm)

{
  "mcpServers": {
    "frontend-engineer": {
      "command": "npx",
      "args": ["-y", "kiro-frontend-engineer-mcp"]
    }
  }
}

Option 3: Clone and build locally

git clone https://github.com/<your-username>/kiro-frontend-engineer-mcp.git
cd kiro-frontend-engineer-mcp
npm install
npm run build

Then point your MCP config to the built output:

{
  "mcpServers": {
    "frontend-engineer": {
      "command": "node",
      "args": ["./kiro-frontend-engineer-mcp/dist/index.js"]
    }
  }
}

What It Provides

Resources (context the agent reads)

URI Description
mcp://research/web-design-guidelines WCAG AA checklist, layout stability, responsive breakpoints
mcp://research/react-best-practices Server/Client components, TypeScript patterns, performance

Prompts (agent personas)

Name Description
ui-ux-pro-max Generates production-ready component blueprints from layout specs

Tools (agent actions)

Name Description
run_kane_cli Visual browser validation via kane-cli
execute_playwright_test Run Playwright E2E tests
github_fetch_ci_logs Fetch CI failure logs for self-healing
github_address_review_comments Fetch and resolve PR review comments

Orchestration Flow

The agent should chain calls in this order:

Read web-design-guidelines → Call ui-ux-pro-max prompt → Read react-best-practices
→ Generate code → run_kane_cli → execute_playwright_test
→ (if CI fails) github_fetch_ci_logs → fix → push
→ (if PR comments) github_address_review_comments → resolve → push

Prerequisites

  • Node.js ≥ 18
  • gh CLI (for CI logs and PR comment tools) — gh auth login
  • Playwright installed in your project (for E2E tool)
  • kane-cli (optional, for browser validation tool)

License

MIT

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