Install
$ agentstack add mcp-pspdfkit-nutrient-document-engine-mcp-server ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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.
- 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](#removing-evaluation-watermarks-and-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](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:
- Contact Sales to purchase a license from Nutrient
- Configure your license by setting the
ACTIVATION_KEYenvironment variable in your [Docker Compose configuration](docker-compose.yml) 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](CONTRIBUTING.md) for development setup, testing guidelines, and how to submit pull requests.
License
MIT License - see [LICENSE](LICENSE) file for details.
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: PSPDFKit
- Source: PSPDFKit/nutrient-document-engine-mcp-server
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.