# MCP Read Images

> Use this tool when you need to analyze images using advanced vision models, and automate tasks such as image resizing and custom query handling. It solves problems like image processing and object detection, providing outputs like resized images and query results. The tool accepts image inputs and model configurations, making it ideal for applications requiring computer vision capabilities.

Canonical page: https://skillsregistry.net/skills/catalystneuro-mcp-read-images  
JSON: https://api.skillsregistry.net/v1/skills/catalystneuro-mcp-read-images

## Description

An MCP server for analyzing images using OpenRouter vision models, offering capabilities like automatic image resizing, model configuration, and handling custom queries about images.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h5ezdsyagp)
- **Repository:** <https://github.com/catalystneuro/mcp_read_images>

## 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": "catalystneuro-mcp-read-images"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/catalystneuro-mcp-read-images` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/catalystneuro-mcp-read-images/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