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MCP server · AI

Nutrient Document Engine MCP Server

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

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Scored 5 hours ago · breakdown

About Nutrient Document Engine MCP Server

Nutrient Document Engine MCP Server is an MCP server published by PSPDFKit in the AI category: a Model Context Protocol (MCP) server implementation exposes document processing capabilities through natural language, supporting both direct human interaction and AI agent tool calling.

The repository has 62 stars and 4 forks, with the last commit a month ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/PSPDFKit/nutrient-document-engine-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Nutrient Document Engine MCP Server

Powered by Claude · Grounded in docs

I know everything about Nutrient Document Engine MCP Server. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 5 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

1 check has not been run yet.

Releases

v0.0.3Document Engine MCP v0.0.3 · 27 Aug 2026What's Changed Update Document Engine licensing information in the README by @nickwinder in https://github.com/PSPDFKit/nutrient-document-engine-mcp-server/pull/1 Add Nutrient branding to Document Chat examples by @nickwinder in…

README

Nutrient Document Engine MCP Server

Document workflows using natural language

npm

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.

Which MCP Server Should I Use?

Server Best for Deployment Core capabilities
Nutrient DWS MCP Server Cloud document workflows Nutrient-hosted API (API key) Convert, OCR, redact, sign, extract, watermark, automation
Nutrient Document Engine MCP Server Self-hosted document workflows On-prem/private cloud Document processing with deployment control and data residency

You are in the Document Engine MCP Server repo. Choose this when you need self-hosted/on-prem document workflows and deployment control.

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

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-server.git
cd nutrient-document-engine-mcp-server
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

  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"

HTTP Transport Security

The optional HTTP transport binds to 127.0.0.1 by default. A non-loopback MCP_HOST requires MCP_HTTP_AUTH_TOKEN; the server refuses to start without a nonempty token. Clients must send the token on every /mcp request as Authorization: Bearer <token>. If a token is set for a loopback HTTP server, /mcp requires it there too. This token does not protect /health or /dashboard; dashboard access uses DASHBOARD_USERNAME and DASHBOARD_PASSWORD.

# Local-only HTTP transport; no MCP bearer token required.
MCP_TRANSPORT=http npx @nutrient-sdk/document-engine-mcp-server

# Network-accessible HTTP transport; bearer authentication is required.
MCP_TRANSPORT=http MCP_HOST=0.0.0.0 MCP_HTTP_AUTH_TOKEN=replace-with-a-secret \
  npx @nutrient-sdk/document-engine-mcp-server

The default stdio transport is unchanged and never requires MCP_HTTP_AUTH_TOKEN.

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

Documentation

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
  2. Configure your license by setting the ACTIVATION_KEY environment variable in your Docker Compose configuration or Document Engine setup
  3. 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.

README fetched from the repository 5 hours ago. The original is authoritative.

Questions

About Nutrient Document Engine MCP Server

How do I install Nutrient Document Engine MCP Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Nutrient Document Engine MCP Server safe to use with an AI agent?

Its trust score is 77 out of 100 (good). It passes 4 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Nutrient Document Engine MCP Server still maintained?

Yes — the latest release is v0.0.3 (27 Aug 2026), and the last commit was a month ago. The repository has 62 stars and 1 open issues.