Nutrient Document Engine
FreeNot checkedA Model Context Protocol (MCP) server implementation exposes document processing capabilities through natural language, supporting both direct human interaction
About
A Model Context Protocol (MCP) server implementation exposes document processing capabilities through natural language, supporting both direct human interaction and AI agent tool calling.
README

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.
- Docker Compose - Download from Docker. 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 section on how to remove the evaluation limitations.
1. Start Nutrient Document Engine
Open a terminal window, then run:
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):
{
"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
- Open your web browser and go to http://localhost:5100/dashboard.
- Upload the documents you want to work with by using the drag-and-drop interface.
- 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 for complex workflows.
- OpenAI APIs - Connect through MCP-compatible frameworks.
- Custom agents - Any MCP-compatible AI system.
Examples and Documentation
Examples
- LangGraph Document Processing - Workflow examples for contract processing, form filling, and report generation.
- OpenAI Agents SDK Document Processing - Workflow examples for contract processing, form filling, and report generation.
- Document Chat Interface - Web application with React and LangGraph.
- Procurement AI Agent - 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 - Environment variables, transport modes, dashboard.
- Features Reference - Detailed description of all document processing tools.
- Evaluation Framework - Testing and benchmarking tools.
Removing Evaluation Watermarks and Limitations
Document Engine runs in evaluation mode with limitations by default. To remove them:
- Contact Sales to purchase a license from Nutrient
- Configure your license by setting the
ACTIVATION_KEYenvironment variable in your Docker Compose configuration or Document Engine setup - Restart Document Engine to apply the license
For detailed licensing configuration, see the Document Engine licensing guide.
Server Based Document Engine Setups
On-Premise Installation: Follow the Nutrient Document Engine installation guide.
Managed Cloud: Use a hosted Document Engine instance - setup guide.
Contributing
We welcome contributions! See CONTRIBUTING.md for development setup, testing guidelines, and how to submit pull requests.
License
MIT License - see LICENSE file for details.
from github.com/PSPDFKit/nutrient-document-engine-mcp-server
Installing Nutrient Document Engine
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/PSPDFKit/nutrient-document-engine-mcp-serverFAQ
Is Nutrient Document Engine MCP free?
Yes, Nutrient Document Engine MCP is free — one-click install via Unyly at no cost.
Does Nutrient Document Engine need an API key?
No, Nutrient Document Engine runs without API keys or environment variables.
Is Nutrient Document Engine hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Nutrient Document Engine in Claude Desktop, Claude Code or Cursor?
Open Nutrient Document Engine on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzCompare Nutrient Document Engine with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
