# GroupDocs Viewer

> Use this tool when you need to render and analyze document content without requiring native applications, converting pages from various formats into PNG images for further processing or display. It solves problems related to document inspection, content analysis, and visualization, enabling workflows that require accessing document information without launching full applications. The tool takes in document files and outputs PNG images and view information, making it ideal for automating document processing tasks in various contexts.

Canonical page: https://skillsregistry.net/skills/groupdocs-viewer  
JSON: https://api.skillsregistry.net/v1/skills/groupdocs-viewer

## Description

Provides AI agents with document rendering capabilities through GroupDocs.Viewer, converting pages from a wide range of document formats into PNG images. Also exposes view info inspection, enabling workflows that need to analyze or display document content without opening full applications.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/groupdocs-viewer)
- **Repository:** <https://github.com/groupdocs-viewer/groupdocs.viewer.mcp>

## 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": "groupdocs-viewer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/groupdocs-viewer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/groupdocs-viewer/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