Nutrient Document Engine MCP Server

# LangGraph.js Document Engine Examples This directory contains complete examples demonstrating how to use LangChain.js and LangGraph with the Document Engine MCP (Model Context Protocol) server for intelligent PDF document processing workflows. ## Prerequisites - Node.js 18+ with pnpm package manager - Document Engine MCP server running (see main project README) - OpenAI API key configured ## Setup 1. **Install dependencies**: ```bash pnpm install ``` 2. **Environment setup**: Create a `.env` file in this directory with: ```env OPENAI_API_KEY=your_openai_api_key_here MCP_SERVER_URL=http://localhost:5100/mcp ``` 3. **Start Document Engine MCP Server**: From the main project directory: ```bash pnpm build && MCP_TRANSPORT=http pnpm start ``` ## Available Examples ### 1. Document Assembly (`document-assembler.js`) Assembles multiple documents into a professional final document with annotations, headers, and watermarks. **Usage:** ```bash pnpm document-assembler ../assets/cover.pdf ../assets/contract.pdf ../assets/thanks.pdf ``` **Features:** - Intelligent document analysis and ordering - Professional annotations and section headers - Watermark application - Stakeholder version creation ### 2. Document Compliance Processor (`document-processor.js`) Autonomous regulatory monitoring system for document compliance. **Usage:** ```bash pnpm document-processor ../assets/credit-card-application.pdf ``` **Features:** - Regulatory adherence scanning - Automatic redaction of sensitive data - Audit trail creation - Compliance report generation ### 3. Form Processing Automation (`form-processor.js`) Intelligent form processing automation with compliance checking. **Usage:** ```bash pnpm form-processor ../assets/credit-card-application.pdf ../assets/form.pdf ``` **Features:** - Form field extraction and analysis - Data validation and compliance checking - Automated form processing workflows - Error detection and correction ### 4. Report Generation Engine (`report-generator.js`) Autonomous business intelligence report generation from data files. **Usage:** ```bash pnpm report-generator ../assets/finance.xlsx ``` **Features:** - Data analysis and visualization - Professional report formatting - Chart and graph generation - Business intelligence insights ### 5. Smart Contract Processing Pipeline (`contract-processor.js`) Autonomous agent for monitoring and processing legal agreements. **Usage:** ```bash pnpm contract-processor ../assets/contract.pdf ``` **Features:** - Legal document analysis - Contract term extraction - Compliance verification - Risk assessment reporting ## Shared Utilities The examples use shared utilities from the `shared/` directory: ### `shared/common.js` - **`createMCPClient()`**: Creates MCP client for Document Engine - **`createLLM()`**: Creates configured ChatOpenAI model instance - **`parseDocumentIds()`**: Parses document IDs from agent responses - **`handleAgentStream()`**: Handles streaming responses from agents - **`processCommandLine()`**: Generic command line processing - **`uploadDocumentWorkflow()`**: Standard document upload workflow ### `shared/fileHandlers.js` - **`uploadDocuments()`**: Uploads multiple documents to Document Engine - **`downloadFiles()`**: Downloads processed documents - File streaming and error handling utilities ## Output - Processed documents are downloaded to the `downloads/` directory - Each example provides detailed logging of its operations - Document IDs are logged for tracking and debugging