078b67ff35
Major features implemented: - SQLite storage service with FTS5 for fast node search - Database rebuild mechanism for bulk node extraction - MCP tools: search_nodes, extract_all_nodes, get_node_statistics - Production Docker deployment with persistent storage - Management scripts for database operations - Comprehensive test suite for all functionality Database capabilities: - Stores node source code and metadata - Full-text search by node name or content - No versioning (stores latest only as per requirements) - Supports complete database rebuilds - ~4.5MB database with 500+ nodes indexed Production features: - Automated deployment script - Docker Compose production configuration - Database initialization on first run - Volume persistence for data - Management utilities for operations Documentation: - Updated README with complete instructions - Production deployment guide - Clear troubleshooting section - API reference for all new tools 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
188 lines
4.8 KiB
Markdown
188 lines
4.8 KiB
Markdown
# n8n-MCP Implementation Roadmap
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## ✅ Completed Features
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### 1. Core MCP Server Implementation
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- [x] Basic MCP server with stdio transport
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- [x] Tool handlers for n8n workflow operations
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- [x] Resource handlers for workflow data
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- [x] Authentication and error handling
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### 2. n8n Integration
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- [x] n8n API client for workflow management
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- [x] MCP<->n8n data bridge for format conversion
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- [x] Workflow execution and monitoring
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### 3. Node Source Extraction
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- [x] Extract source code from any n8n node
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- [x] Handle pnpm directory structures
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- [x] Support for AI Agent node extraction
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- [x] Bulk extraction capabilities
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### 4. Node Storage System
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- [x] In-memory storage service
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- [x] Search functionality
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- [x] Package statistics
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- [x] Database export format
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## 🚧 Next Implementation Steps
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### Phase 1: Database Integration (Priority: High)
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1. **Real Database Backend**
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- [ ] Add PostgreSQL/SQLite support
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- [ ] Implement proper migrations
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- [ ] Add connection pooling
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- [ ] Transaction support
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2. **Enhanced Storage Features**
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- [ ] Version tracking for nodes
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- [ ] Diff detection for updates
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- [ ] Backup/restore functionality
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- [ ] Data compression
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### Phase 2: Advanced Search & Analysis (Priority: High)
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1. **Full-Text Search**
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- [ ] Elasticsearch/MeiliSearch integration
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- [ ] Code analysis and indexing
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- [ ] Semantic search capabilities
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- [ ] Search by functionality
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2. **Node Analysis**
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- [ ] Dependency graph generation
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- [ ] Security vulnerability scanning
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- [ ] Performance profiling
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- [ ] Code quality metrics
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### Phase 3: AI Integration (Priority: Medium)
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1. **AI-Powered Features**
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- [ ] Node recommendation system
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- [ ] Workflow generation from descriptions
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- [ ] Code explanation generation
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- [ ] Automatic documentation
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2. **Vector Database**
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- [ ] Node embeddings generation
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- [ ] Similarity search
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- [ ] Clustering similar nodes
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- [ ] AI training data export
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### Phase 4: n8n Node Development (Priority: Medium)
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1. **MCPNode Enhancements**
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- [ ] Dynamic tool discovery
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- [ ] Streaming responses
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- [ ] File upload/download
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- [ ] WebSocket support
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2. **Custom Node Features**
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- [ ] Visual configuration UI
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- [ ] Credential management
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- [ ] Error handling improvements
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- [ ] Performance monitoring
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### Phase 5: API & Web Interface (Priority: Low)
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1. **REST/GraphQL API**
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- [ ] Node search API
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- [ ] Statistics dashboard
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- [ ] Webhook notifications
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- [ ] Rate limiting
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2. **Web Dashboard**
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- [ ] Node browser interface
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- [ ] Code viewer with syntax highlighting
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- [ ] Search interface
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- [ ] Analytics dashboard
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### Phase 6: Production Features (Priority: Low)
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1. **Deployment**
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- [ ] Kubernetes manifests
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- [ ] Helm charts
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- [ ] Auto-scaling configuration
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- [ ] Health checks
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2. **Monitoring**
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- [ ] Prometheus metrics
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- [ ] Grafana dashboards
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- [ ] Log aggregation
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- [ ] Alerting rules
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## 🎯 Immediate Next Steps
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1. **Database Integration** (Week 1-2)
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```typescript
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// Add to package.json
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"typeorm": "^0.3.x",
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"pg": "^8.x"
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// Create entities/Node.entity.ts
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@Entity()
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export class Node {
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@PrimaryGeneratedColumn('uuid')
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id: string;
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@Column({ unique: true })
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nodeType: string;
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@Column('text')
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sourceCode: string;
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// ... etc
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}
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```
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2. **Add Database MCP Tools** (Week 2)
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```typescript
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// New tools:
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- sync_nodes_to_database
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- query_nodes_database
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- export_nodes_for_training
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```
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3. **Create Migration Scripts** (Week 2-3)
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```bash
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npm run migrate:create -- CreateNodesTable
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npm run migrate:run
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```
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4. **Implement Caching Layer** (Week 3)
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- Redis for frequently accessed nodes
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- LRU cache for search results
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- Invalidation strategies
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5. **Add Real-Time Updates** (Week 4)
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- WebSocket server for live updates
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- Node change notifications
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- Workflow execution streaming
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## 📊 Success Metrics
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- [ ] Extract and store 100% of n8n nodes
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- [ ] Search response time < 100ms
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- [ ] Support for 10k+ stored nodes
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- [ ] 99.9% uptime for MCP server
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- [ ] Full-text search accuracy > 90%
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## 🔗 Integration Points
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1. **n8n Community Store**
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- Sync with community nodes
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- Version tracking
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- Popularity metrics
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2. **AI Platforms**
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- OpenAI fine-tuning exports
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- Anthropic training data
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- Local LLM integration
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3. **Development Tools**
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- VS Code extension
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- CLI tools
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- SDK libraries
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## 📝 Documentation Needs
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- [ ] API reference documentation
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- [ ] Database schema documentation
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- [ ] Search query syntax guide
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- [ ] Performance tuning guide
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- [ ] Security best practices
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This roadmap provides a clear path forward for the n8n-MCP project, with the most critical next step being proper database integration to persist the extracted node data. |