# MetaTag Genie

> Use this tool when you need to automate image metadata tagging or organize photo collections by embedding standardized information directly into image files. The MetaTag Genie server handles various image formats, including HEIC and PNG, and provides a robust interface for AI assistants to write metadata. It is ideal for use cases requiring efficient attribution, copyright management, or cataloging of images without context switching.

Canonical page: https://skillsregistry.net/skills/terryso-metatag-genie  
JSON: https://api.skillsregistry.net/v1/skills/terryso-metatag-genie

## Description

MetaTag Genie is an MCP server that enables AI assistants to write metadata to image files through a TypeScript implementation. The server provides tools for handling various image formats including HEIC and PNG, with a core metadata writer that maps standardized fields to format-specific tags. It features graceful shutdown handling, comprehensive error management, and a testing strategy that includes unit, integration, and end-to-end verification. The implementation is particularly valuable for users who need to automate image metadata tagging, organize photo collections, or ensure proper attribution and copyright information is embedded directly within image files without switching contexts.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/terryso-metatag-genie)
- **Repository:** <https://github.com/terryso/meta_tag_genie>

## 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": "terryso-metatag-genie"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/terryso-metatag-genie` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/terryso-metatag-genie/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