# Clipboard Vision

> Use this tool when you need to analyze images from the clipboard with text-only AI models, solving problems like image-based data extraction and screenshot analysis. Clipboard Vision takes clipboard images as input, applies OCR and multimodal analysis, and outputs extracted text and diagnostic information. It is ideal for use cases where text-only models fall short, such as reading images of text, diagnosing visual errors, or extracting data from screenshots.

Canonical page: https://skillsregistry.net/skills/capetlevrai-clipboard-vision  
JSON: https://api.skillsregistry.net/v1/skills/capetlevrai-clipboard-vision

## Description

Clipboard Vision enables text-only AI models to analyze clipboard images by routing them through Groq's Llama-4 Scout 17B multimodal model. Provides tools for clipboard image reading, OCR, error diagnosis, and screenshot analysis with automatic temporary file cleanup.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/capetlevrai-clipboard-vision)
- **Repository:** <https://github.com/capetlevrai/clipboard-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": "capetlevrai-clipboard-vision"
    }
  }
}
```

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