# Read Images

> Use this tool when you need to analyze images using natural language queries, particularly for tasks like content moderation, data extraction, and automated image captioning. It takes image files and text-based queries as input and outputs detailed analysis results, leveraging OpenRouter's vision models for accurate image understanding. Ideal for developers and researchers working with visual data, it provides a streamlined interface for image analysis without requiring direct interaction with the underlying API.

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

## Description

This MCP server, developed by CatalystNeuro, provides image analysis capabilities using OpenRouter's vision models, particularly Claude-3 variants. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a streamlined interface for AI agents to analyze images through natural language queries. The implementation focuses on ease of use and flexibility, with features like automatic image optimization, configurable model selection, and detailed error handling. It's particularly useful for developers and researchers working with visual data, enabling use cases such as content moderation, data extraction from images, and automated image captioning without directly interacting with the OpenRouter API.

## Trust

- **Trust score (0–1):** 0.96
- **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/catalystneuro-read-images)
- **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-read-images"
    }
  }
}
```

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