# EXIF Metadata

> Use this tool when you need to extract and analyze image metadata offline, solving problems such as image library analysis, metadata pattern visualization, and debugging image manipulation code. It takes image files or data as input, including file paths, URLs, base64 data, and buffers, and outputs various metadata segments like EXIF, GPS, and XMP. Use it in contexts where offline image metadata analysis is required, such as debugging or data visualization, to gain valuable insights without relying on external tools or network connections.

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

## Description

The exif-mcp server enables LLMs to extract and analyze image metadata offline using the exifr library. Built by Stanislav Sedov, this TypeScript implementation provides tools for reading various metadata segments (EXIF, GPS, XMP, ICC, IPTC, JFIF, IHDR) from common image formats like JPEG, PNG, TIFF, and HEIC. The server supports multiple image source types including file paths, URLs, base64 data, and buffers, while offering specialized tools for extracting orientation information, rotation details, GPS coordinates, and embedded thumbnails. This implementation is particularly valuable for analyzing image libraries, visualizing metadata patterns, and debugging image manipulation code without relying on external tools or network connections.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

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

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