# GroupDocs.Comparison MCP Server

> GroupDocs.Comparison MCP Server — groupdocs-comparison-groupdocs-comparison-mcp. Use this tool when you need to compare documents and analyze changes across various formats, solving problems such as version control and content tracking. It takes in documents as input and outputs comparison results, including changed content and document information. Ideal for use cases requiring automated document review and analysis, such as data migration, content management, and collaboration workflows.

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

## Description

Enables AI agents to compare documents, analyze changes, and retrieve document info using GroupDocs.Comparison. Supports various formats and includes licensing for production use.

## 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:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bzbt56oto5)
- **Repository:** <https://github.com/groupdocs-comparison/GroupDocs.Comparison.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-comparison-groupdocs-comparison-mcp"
    }
  }
}
```

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