# mcp-vision

> mcp-vision — lbyxunxunnini-mcp-vision. Use this tool when you need to recognize and describe images using AI-powered vision. It solves problems such as image classification, object detection, and scene understanding by taking local image files as input and generating descriptive text outputs. Ideal for use cases where custom prompts are required for specific image recognition tasks.

Canonical page: https://skillsregistry.net/skills/lbyxunxunnini-mcp-vision  
JSON: https://api.skillsregistry.net/v1/skills/lbyxunxunnini-mcp-vision

## Description

Enables image recognition and description using Kimi K2.5 (Infini-AI) via the recognize_image tool. Supports local image files with optional custom prompts.

## 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/tjwva9wdip)
- **Repository:** <https://github.com/lbyxunxunnini/mcp-vision>

## 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": "lbyxunxunnini-mcp-vision"
    }
  }
}
```

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

---
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