# n8n-MCP Implementation Roadmap

## ✅ Completed Features

### 1. Core MCP Server Implementation
- [x] Basic MCP server with stdio transport
- [x] Tool handlers for n8n workflow operations
- [x] Resource handlers for workflow data
- [x] Authentication and error handling

### 2. n8n Integration
- [x] n8n API client for workflow management
- [x] MCP<->n8n data bridge for format conversion
- [x] Workflow execution and monitoring

### 3. Node Source Extraction
- [x] Extract source code from any n8n node
- [x] Handle pnpm directory structures
- [x] Support for AI Agent node extraction
- [x] Bulk extraction capabilities

### 4. Node Storage System
- [x] In-memory storage service
- [x] Search functionality
- [x] Package statistics
- [x] Database export format

## 🚧 Next Implementation Steps

### Phase 1: Database Integration (Priority: High)
1. **Real Database Backend**
   - [ ] Add PostgreSQL/SQLite support
   - [ ] Implement proper migrations
   - [ ] Add connection pooling
   - [ ] Transaction support

2. **Enhanced Storage Features**
   - [ ] Version tracking for nodes
   - [ ] Diff detection for updates
   - [ ] Backup/restore functionality
   - [ ] Data compression

### Phase 2: Advanced Search & Analysis (Priority: High)
1. **Full-Text Search**
   - [ ] Elasticsearch/MeiliSearch integration
   - [ ] Code analysis and indexing
   - [ ] Semantic search capabilities
   - [ ] Search by functionality

2. **Node Analysis**
   - [ ] Dependency graph generation
   - [ ] Security vulnerability scanning
   - [ ] Performance profiling
   - [ ] Code quality metrics

### Phase 3: AI Integration (Priority: Medium)
1. **AI-Powered Features**
   - [ ] Node recommendation system
   - [ ] Workflow generation from descriptions
   - [ ] Code explanation generation
   - [ ] Automatic documentation

2. **Vector Database**
   - [ ] Node embeddings generation
   - [ ] Similarity search
   - [ ] Clustering similar nodes
   - [ ] AI training data export

### Phase 4: n8n Node Development (Priority: Medium)
1. **MCPNode Enhancements**
   - [ ] Dynamic tool discovery
   - [ ] Streaming responses
   - [ ] File upload/download
   - [ ] WebSocket support

2. **Custom Node Features**
   - [ ] Visual configuration UI
   - [ ] Credential management
   - [ ] Error handling improvements
   - [ ] Performance monitoring

### Phase 5: API & Web Interface (Priority: Low)
1. **REST/GraphQL API**
   - [ ] Node search API
   - [ ] Statistics dashboard
   - [ ] Webhook notifications
   - [ ] Rate limiting

2. **Web Dashboard**
   - [ ] Node browser interface
   - [ ] Code viewer with syntax highlighting
   - [ ] Search interface
   - [ ] Analytics dashboard

### Phase 6: Production Features (Priority: Low)
1. **Deployment**
   - [ ] Kubernetes manifests
   - [ ] Helm charts
   - [ ] Auto-scaling configuration
   - [ ] Health checks

2. **Monitoring**
   - [ ] Prometheus metrics
   - [ ] Grafana dashboards
   - [ ] Log aggregation
   - [ ] Alerting rules

## 🎯 Immediate Next Steps

1. **Database Integration** (Week 1-2)
   ```typescript
   // Add to package.json
   "typeorm": "^0.3.x",
   "pg": "^8.x"
   
   // Create entities/Node.entity.ts
   @Entity()
   export class Node {
     @PrimaryGeneratedColumn('uuid')
     id: string;
     
     @Column({ unique: true })
     nodeType: string;
     
     @Column('text')
     sourceCode: string;
     // ... etc
   }
   ```

2. **Add Database MCP Tools** (Week 2)
   ```typescript
   // New tools:
   - sync_nodes_to_database
   - query_nodes_database
   - export_nodes_for_training
   ```

3. **Create Migration Scripts** (Week 2-3)
   ```bash
   npm run migrate:create -- CreateNodesTable
   npm run migrate:run
   ```

4. **Implement Caching Layer** (Week 3)
   - Redis for frequently accessed nodes
   - LRU cache for search results
   - Invalidation strategies

5. **Add Real-Time Updates** (Week 4)
   - WebSocket server for live updates
   - Node change notifications
   - Workflow execution streaming

## 📊 Success Metrics

- [ ] Extract and store 100% of n8n nodes
- [ ] Search response time < 100ms
- [ ] Support for 10k+ stored nodes
- [ ] 99.9% uptime for MCP server
- [ ] Full-text search accuracy > 90%

## 🔗 Integration Points

1. **n8n Community Store**
   - Sync with community nodes
   - Version tracking
   - Popularity metrics

2. **AI Platforms**
   - OpenAI fine-tuning exports
   - Anthropic training data
   - Local LLM integration

3. **Development Tools**
   - VS Code extension
   - CLI tools
   - SDK libraries

## 📝 Documentation Needs

- [ ] API reference documentation
- [ ] Database schema documentation
- [ ] Search query syntax guide
- [ ] Performance tuning guide
- [ ] Security best practices

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.