n8n-mcp-data-patterns
🤖 15 Production-Ready n8n + MCP Patterns: From Zero to Data Automation Hero in One Day | CLI + No-Code Templates
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🤖 15 Production-Ready n8n + MCP Patterns: From Zero to Data Automation Hero in One Day | CLI + No-Code Templates
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bash\n# 1. Clone the repo\ngit clone https://github.com/anix-lynch/n8n-mcp-data-patterns.git\ncd n8n-mcp-data-patterns\n\n# 2. Set up your environment\nexport CLAUDE_API_KEY=\"your-claude-key\"\n\n# 3. Start with Pattern #1\n./scripts/01-setup.sh\n
\n\nThen: Import patterns/01-data-quality-audit.json
into n8n and test!\n\n---\n\n## 📋 Available Patterns\n\n| Pattern | Status | Complexity | Business Impact |\n|---------|--------|------------|----------------|\n| 🧹 Data Quality Audit | ✅ Ready | ⭐⭐ | High |\n| 🔬 Smart Feature Discovery | 🚧 Building | ⭐⭐⭐ | High |\n| 🔄 Multi-Modal Fusion | 📋 Planned | ⭐⭐⭐⭐ | Medium |\n| 📦 Smart API Orchestration | 📋 Planned | ⭐⭐⭐ | High |\n| 📊 AI Insight Engine | 📋 Planned | ⭐⭐⭐⭐ | Very High |\n| 🚨 Context-Aware Anomalies | 📋 Planned | ⭐⭐⭐ | High |\n| 📈 Real-Time Predictions | 📋 Planned | ⭐⭐⭐⭐ | Very High |\n| 📑 Executive Reporting | 📋 Planned | ⭐⭐ | Medium |\n| 💼 VC Portfolio Intelligence | 📋 Planned | ⭐⭐⭐⭐⭐ | Very High |\n| 📝 Advanced NLP Pipeline | 📋 Planned | ⭐⭐⭐ | Medium |\n| 🎯 Lead Scoring Engine | 📋 Planned | ⭐⭐⭐ | High |\n| 💰 Smart Pricing Optimizer | 📋 Planned | ⭐⭐⭐⭐ | Very High |\n| 📱 Social Media Intelligence | 📋 Planned | ⭐⭐ | Medium |\n| 🛒 Customer Journey Analytics | 📋 Planned | ⭐⭐⭐⭐ | High |\n| 🔮 Predictive Maintenance | 📋 Planned | ⭐⭐⭐⭐⭐ | Very High |\n\n---\n\n## 🎯 Start Here: Pattern #1\n\n**🧹 Data Quality & Bias Audit** - Perfect for beginners!\n\n\n📁 New CSV → 📖 Preview → 🤖 Claude Audit → 📊 Stats → 💬 Alerts\n
\n\nWhat it does:\n- 🚨 Detects new CSVs automatically\n- 🧠 Claude reviews for bias, missing values, anomalies\n- 📊 JavaScript stats back it up with hard numbers\n- 📬 You get Slack + email alerts instantly\n\nBusiness impact: Catch data quality issues before they cost you money!\n\nQuick test:\nbash\ntest-quality-audit # Creates test file, triggers workflow\n
\n\n→ Full Pattern #1 Guide\n\n---\n\n## 🛠️ Installation & Setup\n\n### Prerequisites\n- Claude API Key - Get from Anthropic Console\n- n8n Instance - Local or cloud\n- Docker (recommended) or Node.js 18+\n\n### One-Command Setup\nbash\ngit clone https://github.com/anix-lynch/n8n-mcp-data-patterns.git\ncd n8n-mcp-data-patterns\n./scripts/01-setup.sh\n
\n\n### Manual n8n Setup\nbash\n# Install MCP support\nnpm install -g @leonardsellem/n8n-mcp-server\nnpm install -g @n8n/n8n-nodes-mcp\n\n# Set environment\nexport CLAUDE_API_KEY=\"your-claude-key\"\n\n# Start n8n\nn8n start\n# Open http://localhost:5678\n
\n\n---\n\n## 📚 Learning Path\n\n**🎯 Beginner (Start Here!)\n1. 🧹 Data Quality Audit - Learn the basics of MCP + n8n\n2. Wait for Pattern #2! 🚧\n\n🚀 Intermediate**\n3. Smart Feature Discovery (coming next)\n4. Real-Time Predictions\n5. Executive Reporting\n\n**💪 Advanced**\n6. Multi-Modal Fusion\n7. VC Portfolio Intelligence\n8. Predictive Maintenance\n\n---\n\n## 📁 Repo Structure\n\n\nn8n-mcp-data-patterns/\n├── patterns/ # Complete n8n workflow JSONs\n│ └── 01-data-quality-audit.json\n├── scripts/ # One-command setup scripts\n│ └── 01-setup.sh\n├── docs/ # Human-readable guides + code\n│ ├── 01-data-quality-audit.md\n│ ├── 01-prompt.md\n│ └── 01-code.js\n├── examples/ # Sample data for testing\n│ └── 01-sample-data.csv\n└── README.md # This file\n
\n\n---\n\n## 🤝 Contributing\n\nBuilding pattern by pattern! 🏗️\n\nWant to help?\n1. Test Pattern #1 and report issues\n2. Suggest which pattern to build next\n3. Share your own n8n + MCP patterns\n4. Improve documentation\n\nPattern requests? Open an issue with your use case!\n\n---\n\n## 📊 Community & Support\n\n- GitHub Issues - Bug reports, feature requests\n- Discussions - Share your wins, ask questions \n- Medium - Detailed tutorials (coming soon)\n- Twitter - @anixlynch for updates\n\n---\n\n## ⚡ Why This Matters\n\nBefore n8n + MCP:\n- Manual data analysis takes hours\n- Quality issues discovered too late\n- No automated insights\n- Repetitive reporting work\n\nAfter n8n + MCP:\n- Automated quality monitoring\n- AI-powered insights at scale\n- Instant alerts on issues\n- Time for strategic work\n\nReal Results:\n- 🏪 E-commerce: 15% better email campaigns\n- 🏥 Healthcare: More representative studies\n- 💰 FinTech: 25% better fraud detection\n\n---\n\n## 📄 License\n\nMIT License - build amazing things! 🎯\n\n---\n\n**⭐ Star this repo if it helps you automate your data workflows!** ⭐\n\nBuilt with ❤️ by @anixlynch - Making data automation accessible to everyone\n\n---\n\n## 🚧 Build Progress\n\n**✅ Pattern #1 Complete:** Data Quality Audit \n**🚧 Next Up:** Pattern #2 - Smart Feature Discovery \n**📝 Coming Soon:** Medium post with detailed walkthrough\n\nFollow along as we build all 15 patterns!"