# Nutrient Document Engine MCP Server

> Use this tool when you need to automate document processing tasks, such as extracting text, redacting sensitive information, or filling out forms, to increase efficiency and accuracy. It solves problems related to document management, data extraction, and content analysis, providing outputs like extracted text, filled forms, and annotated documents. Ideal for use cases involving large volumes of PDF documents, such as data entry, research, or compliance workflows.

Canonical page: https://skillsregistry.net/skills/pspdfkit-nutrient-document-engine-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/pspdfkit-nutrient-document-engine-mcp-server

## Description

Enables AI agents and users to process documents through natural language, supporting PDF operations like text extraction, redaction, splitting, form filling, annotations, and content search.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jh5fykpnrt)
- **Repository:** <https://github.com/PSPDFKit/nutrient-document-engine-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pspdfkit-nutrient-document-engine-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pspdfkit-nutrient-document-engine-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pspdfkit-nutrient-document-engine-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt