# Image Reader

> Use this tool when you need to analyze, resize, or convert images, and want to extract metadata or generate thumbnails. It solves problems related to image management, preprocessing, and analysis by providing a flexible set of tools for various image types. The Image Reader takes image files as input and outputs processed images, metadata, or thumbnails, making it ideal for tasks that require advanced image processing capabilities.

Canonical page: https://skillsregistry.net/skills/rupeebw-image-reader  
JSON: https://api.skillsregistry.net/v1/skills/rupeebw-image-reader

## Description

Image-reader MCP server provides advanced image processing capabilities, enabling users to list, analyze, resize, and convert images through a set of flexible tools. Built with TypeScript and Sharp, it supports metadata extraction, thumbnail generation, and format conversion for various image types, making it useful for tasks like image management, preprocessing, and analysis.

## Trust

- **Trust score (0–1):** 0.92
- **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/rupeebw-image-reader)
- **Repository:** <https://github.com/rupeedev/mcp-image-reader>

## 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": "rupeebw-image-reader"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rupeebw-image-reader` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rupeebw-image-reader/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