# GroupDocs Merger

> Use this tool when you need to merge, split, or extract metadata from multiple documents in various formats, including PDF, DOCX, and XLSX. It solves document management problems by combining files into a single output and extracting specific pages or information. The tool accepts document files as input and produces merged, split, or metadata-extracted outputs in supported formats.

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

## Description

GroupDocs Merger exposes the GroupDocs.Merger document processing library as an MCP server, enabling AI agents to merge two to four documents into a single file, split documents by extracting specific pages, and retrieve document metadata. It supports PDF, DOCX, XLSX, PPTX, and more than 30 additional document, image, and archive formats. The server is distributed as a NuGet package and Docker image.

## 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:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/groupdocs-merger)
- **Repository:** <https://github.com/groupdocs-merger/groupdocs.merger.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-merger"
    }
  }
}
```

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