# GroupDocs Metadata

> Use this tool when you need to extract or remove metadata from documents and media files, solving data privacy and security issues by anonymizing sensitive information. It takes in various file formats as input and outputs metadata properties as JSON or a clean copy of the file with metadata removed. Ideal for use cases requiring data sanitization, compliance, or information protection.

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

## Description

GroupDocs Metadata is an official MCP server for the GroupDocs.Metadata .NET library, enabling AI agents to read and remove metadata from a wide range of document and media formats. It exposes two tools: ReadMetadata returns all metadata properties as JSON, and RemoveMetadata strips all metadata and saves a clean copy. Available via NuGet or Docker.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

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

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