# GroupDocs.Parser MCP Server

> GroupDocs.Parser MCP Server — groupdocs-parser-groupdocs-parser-mcp. Use this tool when you need to extract data from various document and image formats, such as text, images, metadata, tables, barcodes, and document information. It solves problems related to document data extraction, processing, and analysis, supporting over 50 formats. The tool accepts document files as input and outputs the extracted data, making it ideal for use cases involving document processing, indexing, and information retrieval.

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

## Description

MCP server that exposes GroupDocs.Parser as AI-callable tools for extracting text, images, metadata, tables, barcodes, and document info from 50+ document and image formats.

## 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/mwqc1cv6ug)
- **Repository:** <https://github.com/groupdocs-parser/GroupDocs.Parser.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-parser-groupdocs-parser-mcp"
    }
  }
}
```

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