# GroupDocs.Viewer MCP Server

> GroupDocs.Viewer MCP Server — groupdocs-viewer-groupdocs-viewer-mcp. Use this tool when you need to render document pages as images or retrieve document information, such as file type and page count, to enable document processing and analysis capabilities in your application. It solves problems related to document visualization and information extraction, providing inputs like document files and page numbers, and outputs like image files and document metadata. Ideal for use cases where document rendering and info retrieval are required, such as document management, archiving, and search systems.

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

## Description

Enables AI agents to render document pages as images and retrieve document info (file type, page count) via tools like RenderPage and GetViewInfo.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mz24ntl333)
- **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-groupdocs-viewer-mcp"
    }
  }
}
```

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