# MIMO Image Recognition MCP

> Use this tool when you need to enable image understanding and analysis in your application, solving problems such as image classification and object detection. It takes local file paths or URLs as input and outputs insights gained from the MIMO multimodal model. Ideal for use cases requiring automated image recognition, such as content moderation or visual search.

Canonical page: https://skillsregistry.net/skills/rayner-luo-mimo-image-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rayner-luo-mimo-image-mcp

## Description

A Node.js MCP server that enables image understanding by calling the MIMO multimodal model, supporting local file paths and URLs.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uz4quoij5m)
- **Repository:** <https://github.com/rayner-luo/mimo-image-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": "rayner-luo-mimo-image-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rayner-luo-mimo-image-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rayner-luo-mimo-image-mcp/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