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.
README
kiro-frontend-engineer-mcp
A Model Context Protocol (MCP) server implementing a 7-stage agentic frontend workflow:
- Design Audit — Web design inspection checklist (accessibility, layout stability, edge cases)
- Component Blueprint — AI-driven component generation with full interactive states
- Best Practices — React/Next.js guidelines applied before code generation
- Browser Validation — Real browser run via kane-cli
- E2E Testing — Playwright test execution with pass/fail capture
- CI Self-Healing — Auto-fetch GitHub Actions failures and generate fixes
- 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
ghCLI (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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.