PSPDFKit/nutrient-document-engine-mcp-server

Overview

An MCP server that exposes document processing capabilities through natural language, enabling both direct human interaction and AI agent tool calling. Built in TypeScript, it integrates with the Nutrient Document Engine to handle tasks like PDF manipulation and extraction.

Best for

Best for
Developers building AI-powered document workflows who need a standardized MCP interface for PDF processing

Use cases

• Extracting text or metadata from PDFs via natural language commands
• Automating document workflows by integrating with AI agents
• Performing PDF transformations such as merging or splitting

How to use

Install

docker-compose up -d

Tools exposed

• docker-compose
• npx

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "nutrient-document-engine": {\n      "command": "npx",\n      "args": ["-y", "@nutrient-sdk/document-engine-mcp-server"],\n      "env": {\n        "DASHBOARD_USERNAME": "admin",\n        "DASHBOARD_PASSWORD": "password",\n        "DOCUMENT_ENGINE_BASE_URL": "http://localhost:5000",\n        "DOCUMENT_ENGINE_API_AUTH_TOKEN": "secret"\n      }\n    }\n  }\n}

Notes

An MCP server that exposes document processing capabilities through natural language, enabling both direct human interaction and AI agent tool calling. Built in TypeScript, it integrates with the Nutrient Document Engine to handle tasks like PDF manipulation and extraction.

59 stars on GitHub. Last updated 2026-03-05. Licensed MIT.

Use cases

• Extracting text or metadata from PDFs via natural language commands
• Automating document workflows by integrating with AI agents
• Performing PDF transformations such as merging or splitting

Pros

• Leverages the mature Nutrient Document Engine for reliable PDF operations
• Supports both human and AI agent interactions through the MCP protocol
• TypeScript codebase offers type safety and broad ecosystem compatibility

Cons

• Requires a Nutrient Document Engine license for full functionality
• Limited to document processing tasks, not a general-purpose MCP server
• Relatively low community adoption with 59 stars

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.