Nutrient Document Engine MCP Server

# Nutrient Document Engine MCP Server  [](https://www.npmjs.com/package/@nutrient-sdk/document-engine-mcp-server) **Connect AI agents to document processing.** This MCP server exposes document processing capabilities through natural language, supporting both direct human interaction and AI agent tool calling. ## Example Conversations Once configured, you (or your agent) can interact with documents through natural language: **You:** *"What documents do I have available?"* **AI:** *"I can see you have 3 documents: annual-report.pdf, contract-draft.pdf, and tax-form-2023.pdf. Would you like me to analyze any of these?"* **You:** *"Extract all the names and phone numbers from these invoices"* **AI:** *"I found 12 contacts: John Smith (555-0123), Sarah Johnson (555-0456)..."* **You:** *"Redact all social security numbers from these tax forms"* **AI:** *"I've identified and redacted 3 SSNs across 2 documents. The redacted versions are ready."* **You:** *"Split this 50-page contract into separate sections"* **AI:** *"I've split the contract into 5 sections: Terms (pages 1-8), Payment (pages 9-15)..."* ## Setup with Claude Desktop  ### Prerequisites - **Claude Desktop** - [Download from Anthropic](https://claude.ai/download). - **Docker Compose** - [Download from Docker](https://docs.docker.com/compose/). For running Nutrient Document Engine locally. - **Node.js 18+** - This MCP server runs via `npx`. ### Licensing Nutrient Document Engine runs with an evaluation license by default. Please see [Removing Evaluation Limitations](#removing-evaluation-watermarks-and-limitations) section on how to remove the evaluation limitations. ### 1. Start Nutrient Document Engine Open a terminal window, then run: ```bash git clone https://github.com/PSPDFKit/nutrient-document-engine-mcp.git cd nutrient-document-engine-mcp docker-compose up -d ``` ### 2. Connect Claude Desktop Add this to your Claude Desktop config (Settings → Developer → Edit Config): ```json { "mcpServers": { "nutrient-document-engine": { "command": "npx", "args": ["-y", "@nutrient-sdk/document-engine-mcp-server"], "env": { "DASHBOARD_USERNAME": "admin", "DASHBOARD_PASSWORD": "password", "DOCUMENT_ENGINE_BASE_URL": "http://localhost:5000", "DOCUMENT_ENGINE_API_AUTH_TOKEN": "secret" } } } } ``` ### 3. Restart Claude Desktop ### 4. Upload and Process Documents 1. Open your web browser and go to http://localhost:5100/dashboard. 2. Upload the documents you want to work with by using the drag-and-drop interface. 3. Switch back to Claude Desktop and ask questions like: *"List my documents and extract text from the contract"* ## Features This MCP server provides document processing tools in these areas: **Content Access**: Extract text, search documents, render pages as images, extract form data and table structures. **Document Editing**: Split documents, add watermarks, duplicate documents, fill PDF forms. **Security**: Create and apply redactions for sensitive data using preset patterns (SSNs, credit cards, etc.) or custom regex. **Annotations**: Add, read, and delete document annotations including highlights, notes, and stamps. **System**: Document discovery, metadata retrieval, and health monitoring. ## Use with Other AI Platforms This MCP server works with any AI platform that supports the Model Context Protocol: - **Claude Desktop** - Quick setup with the configuration above. - **LangGraph** - Integrate with [LangGraph agents](examples/langgraphjs) for complex workflows. - **OpenAI APIs** - Connect through MCP-compatible frameworks. - **Custom agents** - Any MCP-compatible AI system. ## Examples and Documentation ### Examples - [LangGraph Document Processing](examples/langgraphjs) - Workflow examples for contract processing, form filling, and report generation. - [OpenAI Agents SDK Document Processing](examples/openai-agents) - Workflow examples for contract processing, form filling, and report generation. - [Document Chat Interface](examples/document-chat) - Web application with React and LangGraph. - [Procurement AI Agent](examples/procurement-agent-ts) - An AI Agent written with Langgraph.js, that classifies and collates POs, invoices, and payment documents into groups and flags for human review ### Documentation - [Configuration Guide](docs/configuration.md) - Environment variables, transport modes, dashboard. - [Features Reference](docs/features.md) - Detailed description of all document processing tools. - [Evaluation Framework](evaluation) - Testing and benchmarking tools. ## Removing Evaluation Watermarks and Limitations Document Engine runs in evaluation mode with limitations by default. To remove them: 1. **Contact Sales to purchase a license** from [Nutrient](https://www.nutrient.io/contact-sales) 2. **Configure your license** by setting the `ACTIVATION_KEY` environment variable in your [Docker Compose configuration](docker-compose.yml) or Document Engine setup 3. **Restart Document Engine** to apply the license For detailed licensing configuration, see the [Document Engine licensing guide](https://www.nutrient.io/guides/document-engine/about/licensing/). ## Server Based Document Engine Setups **On-Premise Installation:** Follow the [Nutrient Document Engine installation guide](https://www.nutrient.io/getting-started/document-engine/). **Managed Cloud:** Use a hosted Document Engine instance - [setup guide](https://www.nutrient.io/guides/document-engine/deployment/managed-document-engine/). ## Contributing We welcome contributions! See [CONTRIBUTING.md](CONTRIBUTING.md) for development setup, testing guidelines, and how to submit pull requests. ## License MIT License - see [LICENSE](LICENSE) file for details.