# image-mcp

> image-mcp — systemmin-image-mcp. Use this tool when you need to analyze and understand visual content, as it provides image recognition capabilities to describe, answer questions, and extract insights from images using multiple vision backends. It solves problems such as image description, question answering, and analysis, and accepts image inputs to produce text-based outputs. Ideal for applications requiring automated image understanding, such as content moderation, accessibility, and data analysis.

Canonical page: https://skillsregistry.net/skills/systemmin-image-mcp  
JSON: https://api.skillsregistry.net/v1/skills/systemmin-image-mcp

## Description

MCP server for image recognition, supporting multiple vision backends (Anthropic, Zhipu, Ollama) to describe, answer questions, and analyze images.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bi1z9vdwql)
- **Repository:** <https://github.com/systemmin/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": "systemmin-image-mcp"
    }
  }
}
```

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