# GroupDocs.Total MCP Server

> GroupDocs.Total MCP Server — groupdocs-total-groupdocs-total-mcp. Use this tool when you need to automate document processing tasks, such as annotating, comparing, converting, and signing documents, to enhance your AI agent's capabilities. It solves problems related to document management, collaboration, and compliance by providing a unified interface for various document-processing operations. The tool accepts document files and commands as inputs and outputs processed documents, making it ideal for use cases involving document-intensive workflows.

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

## Description

Unified MCP server that exposes GroupDocs.Total document-processing tools (annotation, comparison, conversion, merging, metadata, parsing, redaction, signing, watermarking, and more) as AI-callable tools for MCP agents.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nt888v2un5)
- **Repository:** <https://github.com/groupdocs-total/GroupDocs.Total.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-total-groupdocs-total-mcp"
    }
  }
}
```

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