# exif-mcp

> Use this tool when you need to extract and analyze image metadata, such as EXIF data, without relying on external tools or internet connectivity. It supports various image formats and metadata segments, making it suitable for tasks like image forensics, data analysis, and content verification. The tool takes image files as input and outputs extracted metadata, allowing LLMs and humans to leverage this information in their workflows.

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

## Description

An offline MCP server that allows LLMs or humans to extract and analyze metadata from images using the exifr library, supporting various image formats and metadata segments without external tools.

## Trust

- **Trust score (0–1):** 0.98
- **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:** [Glama](https://glama.ai/mcp/servers/fhxbqhlnlk)
- **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-mcp"
    }
  }
}
```

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

---
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