# Image-Vision MCP Server

> Use this tool when you need to analyze and describe visual content using text-only language models, enabling applications such as image classification, object detection, and scene understanding. It solves problems like limited contextual understanding and lack of visual awareness in language models by leveraging multimodal APIs for image analysis. The tool takes image inputs and returns descriptive text outputs, ideal for use cases where visual data needs to be interpreted and generated into human-readable format.

Canonical page: https://skillsregistry.net/skills/liunan-githu-image-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/liunan-githu-image-vision-mcp

## Description

Enables text-only language models to 'see' and describe images by calling multimodal APIs (OpenAI, Anthropic) for image analysis.

## 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/v7t1kz2bru)
- **Repository:** <https://github.com/liunan-githu/image-vision-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": "liunan-githu-image-vision-mcp"
    }
  }
}
```

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