48 integration tests covering all 6 tools + resource system. src/__tests__/mcp/server.test.ts
src/cli/commands/mcp-setup.ts. Auto-detects OS, merges config, confirmation prompt.
Union types, functions, arrays, objects all produce valid JSX now.
@modelcontextprotocol/sdk moved to optionalDependencies.
continue-on-error removed from .github/workflows/deploy-demo.yml.
30-min idle timeout, cleanup interval, disconnect handling.
src/mcp/analytics.ts + logToolCall() in all 6 tools + stats CLI command.
Performance budgets reconciled, CLI commands updated, MCP section added, version bumped.
5 issues created: #2-#6 on GitHub.
All 156 components have auto-generated examples (100% coverage). Quality is scaffold-level.
AI-native angle, "Made for AI Assistants" badge, How It Works 3-step flow, MCP Server section.
Hero: "The first component library built for AI agents". CTA: "Set Up MCP". Stats: "6 MCP Tools".
docs/guides/mcp-setup.md. Quick setup, manual config, example prompts, troubleshooting.
60-second recording. Pre-recording checklist: run flow 10x, target 9/10 clean runs.
- Not automatable — manual recording task.
Add try/catch to all 6 tool handlers in server.ts. Return structured error responses.
- GitHub Issue: #6
Private beta takes ~1 week for recruitment. Adjust Phase 2 dates accordingly.
Demo video + "I built a component library that AI agents can use natively via MCP"
Target: April 15-16, 2026. Hard deadline: April 23. Title: "Show HN: AI-native React component library with MCP server (147 components, zero deps)"
r/reactjs + r/webdev, educational angle on MCP.
"How I built a component library that AI agents can understand"
Strategy for tool/schema changes across versions.
Cursor, Copilot, Windsurf specific setup guides.
Weekly check if shadcn/MUI/Radix ship MCP servers.