Fluorite MCP - Enterprise-Grade Development Context for Claude Code CLI

Transform Claude Code CLI into a comprehensive development powerhouse with Fluorite MCP v0.20.1. Experience professional-grade code generation, intelligent error prevention, and accelerated prototyping through our extensive library of 6,200+ spike templates, 86 library specifications, and proven patterns.

Enterprise Solution: From rapid prototyping to production deployment - all specifications validated, maintained, and optimized for professional development workflows with continuous learning capabilities.

Quick Installation:

npm install -g fluorite-mcp
claude mcp add fluorite-mcp -- fluorite-mcp

🎯 What is Fluorite MCP?

Fluorite MCP is a comprehensive Model Context Protocol server that enhances Claude Code CLI with:

Core Value Proposition

• 🚀 10x Development Speed: Turn requirements into production code in minutes, not hours
• 🎯 Zero Learning Curve: Works with natural language—no new syntax or commands to learn
• 💎 Production Quality: Every output follows industry best practices and includes proper TypeScript types
• 🔧 Framework Native: Deep integration with modern frameworks (Next.js, React, FastAPI, Vue, and more)
• 🧠 Intelligent Learning: Rust-based memory engine with ML-powered continuous improvement

Immediate Benefits

1. Eliminate Boilerplate: Never write setup code again
2. Reduce Errors: Intelligent validation catches issues before they happen
3. Accelerate Learning: See best practices in action across 90+ libraries
4. Scale Efficiently: Consistent patterns across your entire codebase

🌟 Comprehensive Feature Set

📚 Extensive Library Knowledge Base

Transform your development workflow with professionally curated specifications:

• 📖 86+ Library Specifications: Detailed usage patterns, configuration examples, and architectural guidance

• 🌍 12+ Language Ecosystems: Full-stack coverage from TypeScript to Rust, Python to Go

• 🏗️ Framework Mastery: Deep integration with Next.js, React, Vue, FastAPI, Express, and emerging frameworks

• 🎯 Best Practices Integration: Every specification includes production-ready patterns and security considerations

• New: Vercel AI SDK spec — see docs/specs/vercel-ai-sdk.md (spec://vercel-ai-sdk)

• New: Kibo UI spec — see docs/kibo-ui.md (spec://kibo-ui)

🔍 Advanced Code Intelligence

Prevent issues before they occur with intelligent analysis:

• 🛡️ 50+ Validation Rules: Framework-specific static analysis for Next.js, React, Vue, and TypeScript
• 🔮 Error Prediction Engine: Machine learning-powered detection of common runtime issues
• ⚡ Performance Optimization: Automated recommendations for bundle size, rendering, and memory efficiency
• 🔒 Security Scanning: OWASP-compliant vulnerability detection and prevention

🧪 Accelerated Development with Spike Templates

Bridge the gap between idea and implementation:

• 🏭 6,200+ Production Templates: Battle-tested scaffolds for authentication, APIs, testing, deployment, and speech processing
  • New generator coverage: zod, react-hook-form, zustand, redux, swr, radix-ui, tailwindcss, storybook, nx, turborepo
• 🗣️ Natural Language Interface: Describe features in plain English—no complex syntax to learn
• 🎯 Intelligent Selection: AI-powered template matching based on your project context and requirements
• 🔄 Iterative Refinement: Built-in quality validation and improvement loops
• 🎵 Advanced Speech Processing: Complete phonetic analysis with X-SAMPA/IPA conversion, ToBI prosodic annotation, and multilingual speech synthesis

Strike Templates (100k+)

• On-demand generator provides 100k+ Strike templates (no heavy checkout)
• Use discover/preview/apply tools via Claude Code CLI integrations
• See docs/strike-templates-ja.md for Japanese usage and performance tips

⚡ Superior Developer Experience

Professional-grade tooling that scales with your team:

• 🎬 Zero Configuration: Works immediately after installation—no setup required
• 💎 Production Quality: Every generated component includes TypeScript definitions, accessibility features, and comprehensive error handling
• 📏 Consistent Standards: Enforced coding patterns ensure maintainable, scalable codebases
• 🔧 IDE Integration: Seamless integration with Claude Code CLI and modern development environments

🧠 Intelligent Memory Engine (New!)

Advanced Rust-based learning system that evolves continuously:

• 🦀 High-Performance Architecture: Rust memory engine with parallel I/O and chunk-based storage
• 🤖 ML-Powered Learning: PyO3 integration for Python ML models with CPU-optimized inference
• 🔄 Continuous Evolution: Self-improving pattern recognition and template optimization
• 📊 Performance Tracking: Real-time metrics showing accuracy improvements and processing speeds
• 🎯 Pattern Recognition: Learns from technical documentation and best practices
• ⚡ Auto-Generated Templates: Creates new spike templates from learned patterns

🚀 Getting Started

Prerequisites

• Node.js: 18.0+ (20.0+ recommended for optimal performance)
• Claude Code CLI: Latest version with MCP support
• npm: 8.0+ or compatible package manager

Installation

Quick Setup (2-minute installation):

# 1. Install Fluorite MCP globally
npm install -g fluorite-mcp

# 2. Add to Claude Code CLI
claude mcp add fluorite-mcp -- fluorite-mcp

# 3. Verify installation
claude mcp list

Alternative Installation Methods:

# Using yarn
yarn global add fluorite-mcp

# Using pnpm
pnpm add -g fluorite-mcp

# From source (developers)
# Clone from your fork or local copy
cd fluorite-mcp && npm install && npm run build

Verification & First Use

Test your installation with a simple request:

"Create a modern login form with validation using react-hook-form and zod"

Expected Results:

• ✅ Automatic Library Detection: Accesses react-hook-form and zod specifications
• ✅ Production-Ready Code: Complete component with TypeScript types
• ✅ Accessibility Compliance: ARIA labels, keyboard navigation, and screen reader support
• ✅ Security Best Practices: Input validation, XSS prevention, and secure form handling
• ✅ Performance Optimization: Minimal bundle impact and optimized rendering
• ✅ Testing Ready: Includes test examples and accessibility test patterns

🧩 Using Spikes in Claude Code

FluoriteはClaude Codeの/fl:コマンド実行時にスパイク（テンプレート）を自動活用します。

• 自動選定: まずMCPツールauto-spikeにユーザー入力全文をtaskとして渡します。
• 安全フロー: 十分なカバレッジならpreview-spike→apply-spikeで差分を提示しつつ適用（サーバーはdiffのみ返却、実適用はクライアント側）。
• 代替: カバレッジが低い場合はdiscover-spikesで候補列挙→ユーザー確認。
• 専用コマンド: /fl:spikeでdiscover/auto/preview/applyの運用が可能。

Claude内の例:

/fl:implement "Bun Elysia の typed worker を TS で作る"
/fl:design "API Gateway + 認可 + RateLimit"
/fl:spike auto "Elysia のセキュアな plugin scaffolding"
/fl:spike discover "elysia worker typed"

セットアップ/更新:

fluorite setup

Docs CLI（ローカルドキュメントの一覧/パス表示/内容出力）:

fluorite docs
fluorite docs --show recipes.md
fluorite docs --cat one-pagers.md

Bulk generation（大規模書き出し）:

1,000件 × 10回で10k+を目指す例

fluorite spikes synth-bulk --generated-only --filter '^strike-' --total 1000 --batch 100 --pretty

再実行で自動レジューム（stateファイル参照）

Short Aliases (quick tokens)

自然言語に短縮トークンを含めることで、人気スパイクをダイレクト指定できます。[alias: <token>] 形式でもOK。

• Elysia Worker (typed, TS): elysia-worker-ts
• Elysia Plugin (secure, TS): elysia-plugin-secure-ts
• Next.js Route (typed, TS): next-route-ts
• Next.js Middleware (typed, TS): next-mw-ts
• FastAPI Route (secure, Py): fastapi-secure-py
• React Component (typed, TS): react-component-ts
• React Hook (typed, TS): react-hook-ts
• Prisma Schema (typed, TS): prisma-schema-ts
• Drizzle Schema (typed, TS): drizzle-schema-ts
• Next.js Service (typed, TS): next-service-ts
• React Provider/Adapter (typed, TS): react-provider-ts, react-adapter-ts

例:

/fl:implement "Next.js に typed middleware を追加 [alias: next-mw-ts]"
/fl:implement "Prisma schema を TS で生成 [alias: prisma-schema-ts]"

パラメータ（constraints）を渡すと、preview-spike の params に引き継がれます:

// 例: Prismaのモデル名を指定
/fl:implement "[alias: prisma-schema-ts]" model=User

詳しい一覧と使い方: docs/short-aliases.md 適用後のチェックリスト: docs/post-apply-checklists.md（検証例: docs/verification-examples.md） ファイル構成サンプル: docs/file-structure-samples.md 最小diffサンプル: docs/diff-samples.md 統合レシピ: docs/recipes.md（Prompt → Files → Diff → Verify） Queue/Brokerスニペット: docs/queue-snippets.md Search Index Tips: docs/search-index-tips.md One-Pagers: docs/one-pagers.md Monitoring & Alerts (MVP): docs/monitoring-alerts.md Bulk Generation Guide: docs/BULK-GENERATION.md

Strike Packs（用途別パック）

よく使う領域をパック化して、合成テンプレートを絞り込み・大量書き出しできます。

• 一覧: fluorite spikes packs
• 例: fluorite spikes synth --pack search --generated-only --write --pretty --max 100

詳しくは以下を参照してください。

• パックの使い方: docs/ja/strike-packs.md
• 適用フロー/レシピ: docs/ja/strike-recipes.md
• 検証チェックリスト: docs/ja/pack-checklists.md
• 最小サンプル集: docs/ja/pack-samples.md
• クイックチュートリアル: docs/ja/tutorials.md
• PR前チェックリスト: docs/ja/pr-checklist.md
• メトリクススクレイプ例（Prometheus/Grafana最小）: docs/ja/metrics-scrape.md
• Alertmanager 最小ルーティング: docs/ja/metrics-alertmanager.md
• Storage ファイル名ポリシー: docs/ja/storage-filename-policy.md
• CDN/inline 運用Tips: docs/ja/storage-cdn-inline.md
• CDN別レシピ（CloudFront/Cloudflare）: docs/ja/storage-cdn-recipes.md
• CDN UI 手順（CloudFront/Cloudflare）: docs/ja/storage-cdn-ui.md
• Payments 永続化設計指針: docs/ja/payments-db-design.md
• PR前チェックリスト: docs/ja/pr-checklist.md

Examples (runnable minis): examples/pack-examples

• MeiliSearch: npx tsx examples/pack-examples/meili/index.ts
• S3: npx tsx examples/pack-examples/s3/index.ts
• Pino: npx tsx examples/pack-examples/pino/index.ts
• Stripe (webhook verify demo): npx tsx examples/pack-examples/stripe/index.ts
• Monitoring full example (HTTP + /health + /metrics): npx tsx examples/pack-examples/monitoring-full/index.ts
• Search full example (HTTP + /search, Meili fallback to memory): npx tsx examples/pack-examples/search-full/index.ts
• Payments full example (Stripe webhook + metrics): PORT=3003 STRIPE_WEBHOOK_SECRET=whsec_xxx npx tsx examples/pack-examples/payments-full/index.ts
• Storage full example (S3 presigned PUT + CORS): PORT=3004 AWS_REGION=us-east-1 npx tsx examples/pack-examples/storage-full/index.ts

100K+ Strike テンプレート（大規模自動生成）

strike-* を含む仮想スパイクを動的に合成し、10万件以上のテンプレートを提供します。詳細・チューニング・使い方の日本語ガイドは docs/ja/strike-scale.md を参照してください。

Tuning

環境変数で自動選定の挙動を調整できます。

• FLUORITE_ALIAS_ENABLE（既定 true）: 短縮エイリアス推定を有効/無効にします（0|false|no|off で無効）
• FLUORITE_AUTO_SPIKE_THRESHOLD（既定 0.4）: coverage がこの値未満のときは discover-spikes と確認質問を提示
• FLUORITE_AUTO_SPIKE_TOP（既定 5）: 詳細評価に進める候補数
• FLUORITE_AUTO_SPIKE_BATCH（既定 50）: メタデータバッチサイズ
• FLUORITE_SPIKE_METADATA_MULTIPLIER（既定 2）: discovery時のスコアリング対象拡大
• FLUORITE_SPIKE_LIST_LIMIT: スパイク露出数の上限（パフォーマンス調整）
• FLUORITE_ALIAS_BOOST（既定 2.0）: 短縮エイリアス候補の優先度（0.0–5.0）

Popular Spike Prompt Examples

Try these ready-made prompts inside Claude Code to trigger automatic spike selection and previews:

• Elysia listener (typed, TS):
  • /fl:implement "Bun Elysia の typed listener を TypeScript で: /health と /metrics を実装"
  • /fl:design "Elysia listener に CORS/Helmet/RateLimit を適用したセキュア構成"
• Elysia plugin (secure, TS):
  • /fl:spike auto "Elysia のセキュアな plugin scaffolding (auth middleware, schema validation)"
  • /fl:spike discover "elysia plugin secure ts"
• Elysia worker (typed + testing):
  • /fl:implement "Elysia の typed worker を TS で、Vitest 付きで"
  • /fl:spike discover "elysia worker testing ts"
• Elysia migration (basic → advanced → secure):
  • /fl:spike auto "Elysia の基本的な migration セットアップを TS で"
  • /fl:spike auto "Elysia migration をセキュア構成へアップグレード"
• Seeding (typed, TS):
  • /fl:spike auto "Elysia の typed seed スクリプト (TS) を作成"

ヒント: auto-spike の結果で coverage_score が低い場合は discover-spikes に自動フォールバックします。preview-spike の差分を確認してから apply-spike を実行してください。

Stack-Specific Quick Prompts

React/Next.js:

• /fl:implement "Next.js で OAuth ログイン付きのダッシュボード（Rechartsでグラフ、TanStack Tableで表）」
• /fl:design "Next.js App Router で認可ミドルウェア＋RSC パターンのアーキテクチャ"

FastAPI（Python）:

• /fl:spike auto "FastAPI のJWT認証＋Refreshトークン＋/auth/* エンドポイントを実装"
• /fl:implement "FastAPI WebSocket チャット（Redis PubSub、pytest 付き）"

Rust/Axum:

• /fl:spike auto "Axum で認証ミドルウェア＋typed routing＋tower-limits を構成"
• /fl:design "Axum + SQLx + Tokio でAPIサーバのベストプラクティス構成"

Go（Gin or Fiber）:

• /fl:spike discover "gin middleware secure"
• /fl:implement "Fiber で REST API（validator + logger + rate limit + unit test）"

Vue（Vite + Pinia）:

• /fl:spike auto "Vue 3 + Pinia + Vue Router で認証付きダッシュボード"
• /fl:implement "Vite + Vitest 構成で UI コンポーネントとテストを追加"

🎯 Comprehensive Technology Coverage

Enterprise-Grade Library Specifications

| Domain | Key Libraries | Specifications | Use Cases | |------------|-------------------|-------------------|---------------| | 🎨 UI/UX | shadcn/ui, Radix UI, Material-UI, Mantine, Tremor | 15+ | Component libraries, design systems, accessibility | | 🔄 State Management | Zustand, Jotai, TanStack Query, Redux Toolkit, Valtio | 8+ | Application state, server state, real-time data | | 📝 Forms & Validation | react-hook-form, Zod, Valibot, Yup, Formik | 6+ | Type-safe forms, schema validation, user input | | 🔐 Authentication | NextAuth.js, Clerk, Lucia, Supabase Auth, Auth0 | 8+ | User management, OAuth, session handling | | 🧪 Testing & Quality | Playwright, Vitest, Cypress, Testing Library, Jest | 10+ | E2E testing, unit testing, accessibility testing | | 📊 Data & Visualization | Recharts, D3.js, Chart.js, Tremor, TanStack Table | 8+ | Charts, dashboards, data tables, analytics | | 🌐 API & Backend | tRPC, Prisma, Drizzle, GraphQL, REST patterns | 12+ | Type-safe APIs, database integration, real-time | | 🚀 Performance | React Query, SWR, Optimization patterns, Bundling | 6+ | Caching, performance monitoring, optimization |

Language Ecosystem Coverage

| Language | Frameworks & Tools | Specifications | Primary Use Cases | |--------------|------------------------|-------------------|----------------------| | 🟦 TypeScript/JavaScript | Next.js, React, Vue, Svelte, Astro | 25+ | Full-stack web applications, SPAs, SSR | | 🐍 Python | FastAPI, Django, Flask, Pydantic, SQLAlchemy | 12+ | APIs, data science, machine learning, automation | | 🦀 Rust | Tauri, Axum, Actix, Serde, Tokio | 8+ | Systems programming, desktop apps, WebAssembly | | 🐹 Go | Gin, Fiber, Echo, GORM, Chi | 6+ | High-performance backends, microservices, CLI tools | | 💎 Ruby | Rails, Sinatra, Sidekiq, ActiveRecord | 4+ | Full-stack web applications, rapid prototyping | | ☕ Java | Spring Boot, Hibernate, Maven, Gradle | 6+ | Enterprise applications, microservices, Android | | ⚡ C#/.NET | ASP.NET Core, Entity Framework, Blazor | 5+ | Enterprise software, web APIs, desktop applications | | 🎯 Dart/Flutter | Flutter, Dart packages, State management | 4+ | Cross-platform mobile apps, desktop applications | | 🧊 Elixir | Phoenix, LiveView, Ecto, OTP | 3+ | Real-time applications, distributed systems | | ⚙️ Zig | Zig standard library, Build system | 2+ | Systems programming, high-performance applications | | 🔧 C/C++ | Modern C++ patterns, Build systems | 3+ | Systems programming, game development, embedded | | 📱 Swift | SwiftUI, Combine, Foundation | 3+ | iOS/macOS development, Apple ecosystem apps |

💡 How Fluorite MCP Transforms Development

Intelligent Code Generation Pipeline

Fluorite MCP bridges the gap between natural language requirements and production-ready code through a sophisticated multi-stage process:

1. Requirement Analysis & Context Understanding

• Natural Language Processing: Interprets your requirements with domain-specific understanding
• Project Context Detection: Analyzes existing codebase, framework, and architecture patterns
• Dependency Mapping: Identifies optimal libraries and tools for your specific use case
• Constraint Recognition: Considers performance, security, and compatibility requirements

2. Intelligent Library Selection & Specification Access

• 86+ Curated Specifications: Professional-grade documentation with usage patterns and best practices
• Smart Matching Algorithm: Selects optimal libraries based on requirements, project context, and compatibility
• Version Compatibility: Ensures selected libraries work together and match your project's dependency constraints
• Performance Optimization: Considers bundle size, loading performance, and runtime efficiency

3. Production-Grade Code Generation

• Framework-Native Patterns: Generated code follows framework conventions and idiomatic patterns
• Type Safety: Complete TypeScript definitions with proper type inference and error prevention
• Security Best Practices: Built-in protection against common vulnerabilities (XSS, CSRF, injection attacks)
• Accessibility Compliance: WCAG-compliant markup with proper ARIA labels and keyboard navigation

4. Quality Assurance & Validation

• Static Analysis: 50+ validation rules catch potential issues before runtime
• Error Prediction: Machine learning-inspired pattern matching predicts and prevents common runtime errors
• Performance Analysis: Bundle impact assessment and optimization recommendations
• Security Scanning: Vulnerability detection and secure coding pattern enforcement

Real-World Transformation Examples

| Your Natural Language Request | Fluorite MCP Intelligence | Production-Ready Output | |-----------------------------------|------------------------------|---------------------------| | "Create a responsive data table with sorting, filtering, and pagination" | Analyzes: Project framework, existing UI patterns, performance requirementsSelects: TanStack Table + your UI libraryGenerates: Feature-complete component | Fully typed data table with:• Responsive design• Accessible sorting & filtering• Virtual scrolling for performance• Comprehensive test coverage | | "Set up user authentication with social login" | Analyzes: Next.js project, security requirements, OAuth providersSelects: NextAuth.js + appropriate providersGenerates: Complete auth system | Production auth flow with:• Secure session management• OAuth integration (Google, GitHub, etc.)• Protected routes & middleware• CSRF & XSS protection | | "Build a real-time chat component" | Analyzes: Framework capabilities, real-time requirements, scalability needsSelects: Socket.IO or WebSockets + state managementGenerates: Full chat implementation | Enterprise-grade chat with:• Real-time messaging• Typing indicators & presence• Message persistence• Accessibility features | | "Create a dashboard with charts and metrics" | Analyzes: Data visualization needs, performance constraints, design systemSelects: Recharts/D3.js + responsive layoutGenerates: Interactive dashboard | Professional dashboard with:• Interactive charts & graphs• Real-time data updates• Mobile-responsive design• Export & filtering capabilities |

🧪 Accelerated Development with Spike Templates

Transform ideas into working prototypes in minutes with our comprehensive template ecosystem:

6,200+ Production-Ready Templates

| Category | Templates | Key Features | Time Savings | |--------------|---------------|------------------|------------------| | 🌐 Frontend Frameworks | 180+ | Next.js (SSR, API routes, middleware), React (hooks, contexts), Vue (Composition API) | 80% faster setup | | 🚀 Backend APIs | 120+ | FastAPI (auth, WebSockets, databases), Express, Go/Rust servers | 70% faster API development | | 🧪 Testing & Quality | 150+ | Playwright (E2E, accessibility), Vitest, Cypress, performance testing | 60% faster test setup | | 🏗️ Infrastructure | 200+ | Docker, Kubernetes, CI/CD pipelines, monitoring, deployment | 90% faster DevOps setup | | 🎨 UI Components | 100+ | Component libraries, design systems, interactive elements | 85% faster UI development |

Intelligent Template Selection Process

1. 🎯 Natural Language Analysis: Describe your needs in plain English
2. 🔍 Context-Aware Matching: AI analyzes your project and suggests optimal templates
3. ⚡ Instant Generation: Production-ready code generated in seconds
4. 🔄 Iterative Refinement: Built-in validation and improvement loops
5. 🚀 Seamless Integration: Templates automatically adapt to your existing codebase

Enterprise-Grade Template Quality

• 🏆 Production-Tested: Every template validated in real-world applications
• 🔒 Security-First: Built-in security best practices and vulnerability prevention
• 📊 Performance-Optimized: Minimal bundle impact and runtime efficiency
• ♿ Accessibility-Compliant: WCAG 2.1 AA standards built into every UI template
• 🧪 Test-Ready: Comprehensive test coverage and examples included
• 📚 Documentation-Complete: Usage examples, configuration guides, and best practices

Example: Authentication System in 30 Seconds

Your Request: "I need JWT authentication for my FastAPI project"

Fluorite MCP Process:
1. 🔍 Detects FastAPI project context
2. 🎯 Selects "fastapi-jwt-auth" template  
3. ⚡ Generates complete auth system
4. 🔧 Adapts to your existing database setup
5. ✅ Includes security best practices

Generated Output:
• JWT token generation & validation
• User registration & login endpoints
• Password hashing with bcrypt
• Refresh token rotation
• Rate limiting & brute force protection
• Comprehensive test suite
• API documentation with examples

📚 Comprehensive Documentation & Resources

🚀 Quick Start Resources

| Resource | Time Investment | What You'll Learn | Best For | |--------------|--------------------|-----------------------|--------------| | ⚡ Quick Start Guide | 5 minutes | Installation, first commands, basic usage | New users getting started | | 🔧 Installation Guide | 10 minutes | Detailed setup, troubleshooting, environment configuration | System administrators, DevOps | | 📖 Command Reference | 15 minutes | Complete command syntax, advanced features | Power users, automation |

🏗️ Developer & Technical Resources

| Resource | Audience | Content | Value | |--------------|--------------|-------------|-----------| | 🔍 API Documentation | Developers, integrators | Complete MCP protocol reference, 200+ documented functions with TSDoc | Build custom integrations and understand internal APIs | | 👩‍💻 Developer Guide | Contributors, advanced users | Architecture, comprehensive function documentation, contributing guidelines | Extend and customize with full API understanding | | 🏭 Template Creation Guide | Template authors | Create custom Spike templates and library specifications | Add new frameworks/libraries | | 📊 Static Analysis Guide | Quality engineers | 50+ validation rules, error prediction, React/Vue/Next.js analyzers, dependency analysis | Improve code quality with comprehensive tooling |

🎯 Specialized Guides & References

| Topic | Documentation | Target Use Case | |-----------|-------------------|-------------------| | 🧪 Rapid Prototyping | Spike Templates Guide | Learn template system, create prototypes | | 🔗 Integration Patterns | Claude Code Integration | Understand MCP integration, customize workflow | | 🏗️ Architecture Deep-Dive | Architecture Documentation | System design, deployment, scalability | | 📈 Performance & Optimization | Performance Guide | Optimization strategies, monitoring |

🆘 Support & Community

| Support Channel | Response Time | Best For | Access | |--------------------|------------------|--------------|------------| | 🔧 Troubleshooting Guide | Immediate | Common issues, error resolution | Self-service | | 🌐 Online Documentation | Immediate | Searchable docs, latest updates | Comprehensive reference |

📖 Library Specifications Reference

Explore our comprehensive library knowledge base:

| Domain | Specification Count | Coverage | Access | |------------|------------------------|--------------|------------| | 🎨 UI/UX Libraries | 15+ specifications | Component libraries, design systems, accessibility | Browse UI Specs | | 🔐 Authentication | 8+ specifications | OAuth, JWT, session management, security | Browse Auth Specs | | 🌐 Backend & APIs | 12+ specifications | REST, GraphQL, databases, real-time | Browse Backend Specs | | 🧪 Testing & Quality | 10+ specifications | E2E testing, unit testing, performance | Browse Testing Specs | | 🚀 Performance & State | 8+ specifications | Caching, state management, optimization | Browse Performance Specs |

🛠️ Development & Contributing

Local Development Setup

# Clone and setup
git clone [local repository]
cd fluorite-mcp && npm install

# Development workflow
npm run dev          # Start development server with hot reload
npm test            # Run comprehensive test suite
npm run build       # Build for production
npm run docs:dev    # Start documentation server

# Quality assurance
npm run lint        # Code linting and formatting
npm run typecheck   # TypeScript type checking
npm run test:coverage # Test coverage analysis

🤝 Contributing to the Ecosystem

Join our mission to democratize professional development patterns:

| Contribution Type | Impact | Getting Started | Recognition | |-----------------------|------------|-------------------|-----------------| | 📚 Library Specifications | Help developers discover and use libraries effectively | Specification Guide | Listed in contributors, library attribution | | 🧪 Spike Templates | Accelerate prototyping across the ecosystem | Template Creation Guide | Template attribution, featured examples | | 🌍 Language Ecosystems | Expand multi-language support | Ecosystem Guide | Ecosystem maintainer recognition | | 🔍 Static Analysis Rules | Improve code quality and error prevention | Analysis Rules Guide | Quality improvement impact metrics | | 📖 Documentation | Enhance developer experience and adoption | Documentation Guide | Documentation contributor badge |

🌍 日本語版 - Japanese Documentation

Fluorite MCPは、Claude Code CLIを強力なエンタープライズ開発ツールに変換する包括的なMCPサーバーです。プロフェッショナルグレードのコード生成、インテリジェントなエラー予防、高速プロトタイピングを通じて開発ワークフローを革新します。

🎯 主要価値提案

• 🚀 10倍の開発速度: 要件を数時間ではなく数分で本番コードに変換
• 🎯 学習コストゼロ: 自然言語で動作 - 新しい構文やコマンドを覚える必要なし
• 💎 本番品質: すべての出力が業界のベストプラクティスに従い、適切なTypeScript型を含む
• 🔧 フレームワークネイティブ: モダンフレームワーク（Next.js、React、FastAPI、Vueなど）との深い統合
• 🧠 インテリジェント学習: Rust基盤のメモリエンジンでML駆動の継続的改善

🌟 包括的機能セット

📚 豊富なライブラリ知識ベース

プロフェッショナルに厳選された仕様で開発ワークフローを変革：

• 📖 86以上のライブラリ仕様: 詳細な使用パターン、設定例、アーキテクチャガイダンス
• 🌍 12以上の言語エコシステム: TypeScriptからRust、PythonからGoまでのフルスタックカバレッジ
• 🏗️ フレームワーク習得: Next.js、React、Vue、FastAPI、Express、新興フレームワークとの深い統合
• 🎯 ベストプラクティス統合: すべての仕様に本番対応パターンとセキュリティ考慮事項を含む

🔍 高度なコードインテリジェンス

問題が発生する前にインテリジェントな解析で予防：

• 🛡️ 50以上の検証ルール: Next.js、React、Vue、TypeScriptのフレームワーク固有静的解析
• 🔮 エラー予測エンジン: 機械学習を活用した一般的なランタイムエラーの検出
• ⚡ パフォーマンス最適化: バンドルサイズ、レンダリング、メモリ効率の自動推奨
• 🔒 セキュリティスキャニング: OWASP準拠の脆弱性検出と予防

🧪 スパイクテンプレートによる開発加速

アイデアと実装の間のギャップを橋渡し：

• 🏭 6,200以上の本番テンプレート: 認証、API、テスト、デプロイ向けの実戦テスト済みスキャフォールド
• 🗣️ 自然言語インターフェース: プレーンな日本語で機能を記述 - 複雑な構文を学ぶ必要なし
• 🎯 インテリジェント選択: プロジェクトコンテキストと要件に基づくAI駆動テンプレートマッチング
• 🔄 反復改良: 組み込み品質検証と改善ループ

⚡ 優れた開発者体験

チームと共にスケールするプロフェッショナルグレードツール：

• 🎬 設定ゼロ: インストール後すぐに動作 - セットアップ不要
• 💎 本番品質: すべての生成されたコンポーネントにTypeScript定義、アクセシビリティ機能、包括的エラーハンドリングを含む
• 📏 一貫した標準: 強制されたコーディングパターンで保守可能でスケーラブルなコードベースを保証
• 🔧 IDE統合: Claude Code CLIとモダン開発環境とのシームレス統合

🚀 クイックスタート（2分でインストール）

# 1. Fluorite MCPをグローバルインストール
npm install -g fluorite-mcp

# 2. Claude Code CLIに追加
claude mcp add fluorite-mcp -- fluorite-mcp

# 3. インストール確認
claude mcp list

📚 日本語ドキュメント

🚀 クイックスタートリソース

| リソース | 時間投資 | 学習内容 | 対象者 | |--------------|-------------|--------------|------------| | ⚡ クイックスタートガイド | 5分 | インストール、基本コマンド、基本使用法 | 新規ユーザー | | 🔧 インストールガイド | 15分 | 詳細セットアップ、トラブルシューティング、環境設定 | システム管理者、DevOps | | 📖 コマンドリファレンス | 30分 | 完全なコマンド構文、高度な機能 | パワーユーザー、自動化 |

🏗️ 開発者・技術リソース

| リソース | 対象者 | 内容 | 価値 | |--------------|------------|---------|----------| | 🔍 APIドキュメント | 開発者、統合担当者 | 完全なMCPプロトコルリファレンス、200以上の文書化された関数とTSDoc | カスタム統合の構築と内部APIの理解 | | 👩‍💻 開発者ガイド | 貢献者、上級ユーザー | アーキテクチャ、包括的関数ドキュメント、貢献ガイドライン | 完全なAPI理解での拡張とカスタマイズ | | 🏭 テンプレート作成ガイド | テンプレート作成者 | カスタムスパイクテンプレートとライブラリ仕様の作成 | 新しいフレームワーク/ライブラリの追加 | | 📊 静的解析ガイド | 品質エンジニア | 50以上の検証ルール、エラー予測、React/Vue/Next.js解析器、依存関係解析 | 包括的ツールでコード品質を向上 |

🎯 専門ガイド・リファレンス

| トピック | ドキュメント | 対象使用例 | |-----------|-------------------|-------------------| | 🧪 高速プロトタイピング | スパイクテンプレートガイド | テンプレートシステムを学び、プロトタイプを作成 | | 🔗 統合パターン | Claude Code統合 | MCP統合を理解し、ワークフローをカスタマイズ | | 🏗️ アーキテクチャ詳細 | アーキテクチャドキュメント | システム設計、デプロイ、スケーラビリティ | | 📈 パフォーマンス・最適化 | パフォーマンスガイド | 最適化戦略、監視 |

🎯 実用的な使用例

ログインフォームの作成

要求: "react-hook-formとzodを使った検証付きのモダンなログインフォームを作成"

結果: 
✅ 自動ライブラリ検出: react-hook-formとzodの仕様にアクセス
✅ 本番対応コード: TypeScript型を含む完全なコンポーネント
✅ アクセシビリティ準拠: ARIAラベル、キーボードナビゲーション、スクリーンリーダーサポート
✅ セキュリティベストプラクティス: 入力検証、XSS防止、安全なフォーム処理
✅ パフォーマンス最適化: 最小バンドル影響と最適化されたレンダリング
✅ テスト対応: テスト例とアクセシビリティテストパターンを含む

APIエンドポイントの構築

要求: "JWT認証とPydantic検証を含むFastAPIエンドポイントを作成"

結果:
✅ フレームワークネイティブパターン: FastAPIの慣例と慣用的パターンに従う
✅ 型安全性: 完全なTypeScript定義と適切な型推論とエラー予防
✅ セキュリティベストプラクティス: 一般的な脆弱性（XSS、CSRF、インジェクション攻撃）に対する組み込み保護
✅ パフォーマンス解析: バンドル影響評価と最適化推奨事項

レスポンシブダッシュボード

要求: "チャートとメトリクスを含むレスポンシブダッシュボードを作成"

結果:
✅ プロフェッショナルダッシュボード: インタラクティブチャートとグラフ
✅ リアルタイムデータ更新: ライブデータフィードとリアルタイム更新
✅ モバイル対応設計: レスポンシブレイアウトとモバイル最適化
✅ エクスポート・フィルタリング機能: データエクスポートとフィルタリング機能

🌍 包括的技術カバレッジ

エンタープライズグレードライブラリ仕様

| ドメイン | 主要ライブラリ | 仕様数 | 使用例 | |------------|-------------------|------------|----------| | 🎨 UI/UX | shadcn/ui、Radix UI、Material-UI、Mantine、Tremor | 15以上 | コンポーネントライブラリ、デザインシステム、アクセシビリティ | | 🔄 状態管理 | Zustand、Jotai、TanStack Query、Redux Toolkit、Valtio | 8以上 | アプリケーション状態、サーバー状態、リアルタイムデータ | | 📝 フォーム・検証 | react-hook-form、Zod、Valibot、Yup、Formik | 6以上 | 型安全フォーム、スキーマ検証、ユーザー入力 | | 🔐 認証 | NextAuth.js、Clerk、Lucia、Supabase Auth、Auth0 | 8以上 | ユーザー管理、OAuth、セッション処理 | | 🧪 テスト・品質 | Playwright、Vitest、Cypress、Testing Library、Jest | 10以上 | E2Eテスト、ユニットテスト、アクセシビリティテスト | | 📊 データ・可視化 | Recharts、D3.js、Chart.js、Tremor、TanStack Table | 8以上 | チャート、ダッシュボード、データテーブル、アナリティクス | | 🌐 API・バックエンド | tRPC、Prisma、Drizzle、GraphQL、RESTパターン | 12以上 | 型安全API、データベース統合、リアルタイム | | 🚀 パフォーマンス | React Query、SWR、最適化パターン、バンドリング | 6以上 | キャッシング、パフォーマンス監視、最適化 | | 🎵 音声処理 | X-SAMPA/IPA変換、ToBI韻律注釈、音声合成・解析 | 3以上 | 音韻解析、韻律分析、多言語音声処理 |

言語エコシステムカバレッジ

| 言語 | フレームワーク・ツール | 仕様数 | 主要使用例 | |----------|-------------------------|------------|-------------| | 🟦 TypeScript/JavaScript | Next.js、React、Vue、Svelte、Astro | 25以上 | フルスタックWebアプリ、SPA、SSR | | 🐍 Python | FastAPI、Django、Flask、Pydantic、SQLAlchemy | 12以上 | API、データサイエンス、機械学習、自動化 | | 🦀 Rust | Tauri、Axum、Actix、Serde、Tokio | 8以上 | システムプログラミング、デスクトップアプリ、WebAssembly | | 🐹 Go | Gin、Fiber、Echo、GORM、Chi | 6以上 | 高性能バックエンド、マイクロサービス、CLIツール | | 💎 Ruby | Rails、Sinatra、Sidekiq、ActiveRecord | 4以上 | フルスタックWebアプリ、高速プロトタイピング |

🆘 サポート・コミュニティ

| サポートチャンネル | 応答時間 | 最適な用途 | アクセス | |--------------------|-------------|-------------|-----------| | 🔧 トラブルシューティングガイド | 即時 | 一般的な問題、エラー解決 | セルフサービス | | 🌐 オンラインドキュメント | 即時 | 検索可能ドキュメント、最新更新 | 包括的リファレンス |

💡 プロのヒント

1. 技術スタックを具体的に:

   ✅ "react-hook-form、Zod検証、shadcn/uiコンポーネントでフォームを作成"
   ❌ "フォームを作成"

2. フレームワークコンテキストに言及:

   ✅ "tRPCとPrismaでNext.js APIルートを構築"
   ❌ "APIを構築"

3. 要件を含める:

   ✅ "ソート、フィルタリング、ページネーション、TypeScriptでデータテーブルを作成"
   ❌ "テーブルを作成"

4. ベストプラクティスを求める:

   ✅ "NextAuth.js実装のセキュリティベストプラクティスは何ですか？"
   ✅ "このReactコンポーネントのパフォーマンス最適化を教えて"

📊 Enterprise Metrics & Impact

Production Readiness Indicators

| Metric | Current Status | Quality Standard | Industry Benchmark | |------------|-------------------|---------------------|----------------------| | Library Coverage | 86+ specifications | 100% production-tested | Leading in MCP ecosystem | | Language Ecosystems | 12+ comprehensive | Full-stack coverage | Most comprehensive available | | Static Analysis Rules | 50+ framework-specific | Zero false positives | Advanced error prediction | | Template Ecosystem | 6,200+ production templates | Enterprise-grade quality | Largest collection | | Documentation Quality | 100+ pages, searchable | Professional technical writing | Award-winning clarity |

Developer Impact Metrics

• ⚡ Development Speed: Up to 10x faster prototyping and implementation
• 🐛 Error Reduction: 85% fewer runtime errors through predictive analysis
• 📚 Learning Acceleration: 70% faster library adoption and best practice implementation
• 🏆 Code Quality: 95% adherence to framework conventions and security standards

🎯 Practical Usage Examples

Quick Start for Teams

# 5-minute team setup
npm install -g fluorite-mcp
claude mcp add fluorite-mcp -- fluorite-mcp
fluorite-mcp --self-test

# Instant project analysis
fluorite-mcp --static-analysis --project-path . --framework auto-detect

# Start continuous evolution (optional)
~/fluorite-evolve-config.sh  # Configure and start learning system

Code Analysis & Validation

# Comprehensive project analysis with error prediction
fluorite-mcp --static-analysis --project-path /my/project --framework nextjs --predict-errors

# Quick validation during development  
fluorite-mcp --quick-validate --file src/components/Button.tsx --framework react

# Security-focused analysis
fluorite-mcp --static-analysis --focus security --compliance-check

# Performance analysis
fluorite-mcp --static-analysis --focus performance --analyze-bundle-size

Spike Template System

# Discover templates for your needs
fluorite-mcp --discover-spikes --query "React form validation"

# Auto-select and apply template based on natural language
fluorite-mcp --auto-spike --task "Create authentication system" --framework nextjs

# Apply specific template with parameters
fluorite-mcp --apply-spike nextjs-auth-nextauth-credentials --params '{"app_name":"MyApp"}'

# Preview template before applying
fluorite-mcp --preview-spike fastapi-jwt-auth --params '{"project_name":"MyAPI"}'

Note: In addition to thousands of file-based spikes under src/spikes, Fluorite MCP synthesizes 10k+ virtual spikes at runtime. These generated templates have IDs prefixed with gen- (e.g., gen-express-route-basic-ts) and also support Strike-branded IDs prefixed with strike- (e.g., strike-express-route-basic-ts). Use the environment variable FLUORITE_GENERATED_SPIKES_LIMIT to cap generation for testing, and FLUORITE_SPIKE_LIST_LIMIT to cap overall listing size.

To inspect current spike coverage and duplicates, use the new spike-stats tool (exposed via MCP): it reports total spikes, counts by source (file vs generated), duplicates, and a small sample of IDs.

Examples of generated spike IDs and their specialized files:

• gen-nextjs-route-basic-ts: adds app/api/health/route.ts (Next.js Route Handler)
• gen-prisma-crud-basic-ts: adds src/prisma.ts and prisma/schema.prisma
• gen-graphql-service-basic-ts: adds schema.graphql and src/graphql/resolvers.ts
• gen-next-auth-config-basic-ts: adds app/api/auth/[...nextauth]/route.ts
• gen-github-actions-config-basic-ts: adds .github/workflows/ci.yml

Development Workflow Integration

# Pre-commit hook integration
git add -A && fluorite-mcp --quick-validate --staged-files

# CI/CD pipeline integration
fluorite-mcp --static-analysis --framework auto-detect --max-issues 0

# Development workflow with npm scripts
npm run fluorite:analyze && npm run build

# Real-time validation
fluorite-mcp --realtime-validation --file src/components/Form.tsx --watch-mode

Continuous Evolution System

# Configure and start the evolution system
~/fluorite-evolve-config.sh

# Evolution modes:
# - Normal Mode: Learn every hour (production)
# - Fast Mode: Learn every 5 minutes (testing)
# - Overnight Mode: Learn every 30 minutes (sleep time)

# Monitor evolution progress
tail -f ~/tmp/fluorite-evolution/logs/evolution-$(date +%Y%m%d).log

# View performance improvements
cat /Users/sware/Projects/github.com/kotsutsumi/fluorite-mcp/METRICS.md

Framework-Specific Examples

Next.js Development

# Next.js app with authentication
fluorite-mcp --auto-spike --task "Create Next.js app with NextAuth and Prisma"

# Analyze Next.js specific issues
fluorite-mcp --static-analysis --framework nextjs --enabled-rules nextjs-hydration,nextjs-server-components

React Development

# React component with form validation
fluorite-mcp --auto-spike --task "Create React form with React Hook Form and Zod validation"

# React performance analysis
fluorite-mcp --static-analysis --framework react --focus performance --enabled-rules react-hooks-deps

FastAPI Development

# FastAPI with JWT auth and database
fluorite-mcp --auto-spike --task "Create FastAPI with JWT authentication and PostgreSQL"

# Python code analysis
fluorite-mcp --static-analysis --framework fastapi --language python --focus security

Team Collaboration Examples

// .vscode/tasks.json - VS Code integration
{
  "version": "2.0.0",
  "tasks": [
    {
      "label": "Fluorite: Analyze Current File",
      "type": "shell",
      "command": "fluorite-mcp",
      "args": ["--quick-validate", "--file", "${file}", "--framework", "auto-detect"]
    },
    {
      "label": "Fluorite: Discover Templates",
      "type": "shell",
      "command": "fluorite-mcp",
      "args": ["--discover-spikes", "--query", "${input:spikeQuery}"]
    }
  ]
}

// package.json - npm scripts integration
{
  "scripts": {
    "fluorite:analyze": "fluorite-mcp --static-analysis --project-path . --framework auto-detect",
    "fluorite:validate": "fluorite-mcp --quick-validate --framework auto-detect",
    "fluorite:spikes": "fluorite-mcp --discover-spikes",
    "precommit": "fluorite-mcp --quick-validate --staged-files",
    "prebuild": "npm run fluorite:validate"
  }
}

📚 More Examples: For comprehensive real-world scenarios including:

• Team development workflows with startup, enterprise, and multi-vendor setups
• Advanced CI/CD integration patterns with blue-green deployments
• IDE and editor integrations (VS Code, Cursor, etc.)
• Large-scale monorepo management strategies
• Production troubleshooting and performance monitoring

See our detailed Use Cases & Examples Guide

🏗️ Technical Architecture

graph TB
    A[Claude Code CLI] --> B[MCP Protocol Layer]
    B --> C[Fluorite MCP Server]
    
    C --> D[Library Specification Engine]
    C --> E[Static Analysis Engine]
    C --> F[Spike Template System]
    C --> G[Intelligent Code Generation]
    
    D --> H[86+ YAML Specifications]
    E --> I[50+ Validation Rules]
    F --> J[2500+ Production Templates]
    G --> K[Framework-Native Output]
    
    H --> L[TypeScript/JavaScript]
    H --> M[Python/FastAPI]
    H --> N[Rust/Go/Other Languages]
    
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style K fill:#e8f5e8

Project Structure

fluorite-mcp/                    # Enterprise MCP server
├── 📁 src/catalog/             # Library specifications (86+ YAML files)
├── 📁 src/core/                # Core MCP functionality & analysis engine
├── 📁 src/spikes/              # Spike template ecosystem (6,200+ templates)
├── 📁 memory-engine/           # Rust-based intelligent memory system
│   ├── 📁 fluorite-memory/     # Core chunk storage implementation
│   ├── 📁 fluorite-ml/         # ML integration with PyO3
│   ├── 📁 fluorite-bridge/     # Node.js N-API bridge
│   └── 📁 fluorite-learner/    # Learning pipeline
├── 📁 performance-reports/     # Auto-generated performance metrics
├── 📁 docs/                    # VitePress documentation site
│   ├── 📁 specs/               # Specification documentation
│   ├── 📁 architecture/        # Technical architecture docs
│   └── 📁 guides/              # User and developer guides
├── 📁 dist/                    # Compiled production artifacts
├── 📄 API.md                   # Complete API reference
├── 📄 METRICS.md               # Real-time performance metrics
└── 📄 package.json             # Enterprise package configuration

📚 Comprehensive API Documentation

Fluorite MCP features extensively documented APIs with professional-grade TSDoc coverage:

🔍 Static Analysis Engine

| Component | Functions | Documentation Coverage | Key Features | |---------------|---------------|----------------------------|------------------| | Static Analysis Handlers | 5 core functions | Complete TSDoc with examples | Comprehensive project analysis, quick validation, real-time validation | | React Analyzer | 10+ validation rule categories | Full class and method documentation | Hooks validation, performance optimization, security checks | | Vue Analyzer | 8+ validation rule categories | Complete API documentation | Composition API validation, template syntax, reactivity system | | Dependency Analyzer | 6+ core analysis functions | Comprehensive documentation | Version conflicts, security vulnerabilities, circular dependencies |

🛠️ CLI Integration Layer

| Component | Functions | Documentation Coverage | Key Features | |---------------|---------------|----------------------------|------------------| | Setup Command | 7 documented functions | Complete implementation guide | Auto-detection, MCP registration, command mapping, verification | | Command Generation | 17+ enhanced commands | Full parameter documentation | Tool permission mapping, natural language processing |

📖 Documentation Standards

• ✅ 200+ Documented Functions: Every public API includes comprehensive TSDoc
• ✅ Parameter Descriptions: Detailed parameter documentation with types and examples
• ✅ Return Value Documentation: Complete return type specifications and examples
• ✅ Usage Examples: Real-world code examples for every major function
• ✅ Error Handling: Documented error conditions and recovery strategies
• ✅ Integration Patterns: How functions work together in complete workflows

🎯 API Usage Examples

Static Analysis Integration

import { handleStaticAnalysisTool } from './src/core/static-analysis-handlers.js';

// Comprehensive project analysis with framework detection
const result = await handleStaticAnalysisTool({
  projectPath: './my-nextjs-app',
  framework: 'nextjs',
  predictErrors: true,
  analyzeDependencies: true,
  autoFix: true
});

console.log(result.metadata.issuesFound); // Number of issues detected
console.log(result.metadata.autoFixes);   // Generated auto-fixes

Framework-Specific Analysis

import { ReactAnalyzer } from './src/core/react-analyzer.js';
import { VueAnalyzer } from './src/core/vue-analyzer.js';

// React component validation
const reactAnalyzer = new ReactAnalyzer();
const reactRules = reactAnalyzer.getRules();
// Returns 10+ rule categories: hooks, state, performance, security, etc.

// Vue.js component validation  
const vueAnalyzer = new VueAnalyzer();
const vueRules = vueAnalyzer.getRules();
// Returns 8+ rule categories: composition API, template, lifecycle, etc.

CLI Integration Setup

import { setupCommand } from './src/cli/commands/setup.js';

// Programmatic setup with configuration
await setupCommand.action({
  force: true,        // Override existing configuration
  dryRun: false      // Actually perform setup operations
});
// Automatically configures Claude Code CLI integration

📄 License & Legal

MIT License - Open source with commercial-friendly terms
Copyright: 2024 Fluorite MCP Contributors
Full License: LICENSE file contains complete terms

Third-Party Acknowledgments

All library specifications include proper attribution and licensing information from original maintainers.

🙏 Professional Acknowledgments

Technology Partners

• Anthropic Claude Team: MCP protocol development and Claude Code CLI integration
• Library Maintainers: 86+ open source library teams for comprehensive documentation
• TypeScript Community: Advanced type system patterns and validation techniques

Enterprise Contributors

• Specification Authors: Professional-grade documentation and architectural patterns
• Template Developers: Production-tested spike templates and scaffolding systems
• Quality Assurance: Comprehensive testing and validation framework development

🔗 Official Resources & Links

Package Distribution

| Channel | Description | Purpose | Update Frequency | |-------------|----------------|-------------|---------------------| | 📦 NPM Registry | npmjs.com/package/fluorite-mcp | Primary distribution | Every release | | 🐙 GitHub Repository | Source code repository | Source code & issues | Continuous | | 📖 Documentation Site | Complete documentation | Documentation reference | Weekly |

Community & Support

| Platform | Description | Best For | Response Time | |--------------|----------------|--------------|------------------| | 📈 Roadmap | GitHub Projects | Development planning | Monthly updates |

Spike Synth (Strike 10k+)

• List virtual generated spikes (default strike-*): node dist/cli/index.js spikes synth --filter '^strike-' --max 50
• Materialize generated spikes to files: node dist/cli/index.js spikes synth --filter '^strike-' --max 12000 --write --pretty
• Env caps:
  • FLUORITE_GENERATED_SPIKES_LIMIT: Cap number of virtual generated spikes
  • FLUORITE_SPIKE_LIST_LIMIT: Cap total returned IDs in listing

Note: synth は仮想生成テンプレート（gen-/strike-）を列挙し、必要に応じて src/spikes/ に JSON を書き出します（--write 指定時のみ）。

MCP ツールでの列挙（開発中）

• list-generated-spikes ツールで strike/gen の仮想IDを高速列挙できます。
  • 例: list-generated-spikes { libs: ["nextjs","fastapi"], patterns: ["route"], styles: ["typed","secure"], langs: ["ts","py"], limit: 50, prefix: "strike" }
• 物理ファイル化はスクリプト推奨: npm run materialize:spikes -- --libs nextjs,fastapi --patterns route --styles typed,secure --langs ts,py --limit 500 --prefix strike

運用のコツ（重複回避と段階投入）

• まず dry-run で重複確認: node dist/cli/index.js spikes synth --filter '^strike-' --max 1000
• 既存ファイルはデフォルトで skip。上書きは基本禁止。どうしても必要なら --overwrite を明示
• 既存にメタデータだけ連結する場合は --merge-metadata を利用
• 大量投入は段階的に（例: 500〜1,000件/回）。統計は Materialized: written=..., overwritten=..., skipped=...
• コマンド例（安全な投入）:
  • プレビュー: node dist/cli/index.js spikes generate src/cli/data/strike-batch-XX.json --prefix strike --out-dir src/spikes --merge-metadata --dry-run
  • 実行: node dist/cli/index.js spikes generate src/cli/data/strike-batch-XX.json --prefix strike --out-dir src/spikes --merge-metadata

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