# qwen-vision-mcp

> qwen-vision-mcp — bigcheese18-qwen-vision-mcp. Use this tool when you need to analyze images or screenshots to extract text, recognize UI elements, or understand charts, and integrate these capabilities into an MCP client or Claude Code workflow. The qwen-vision-mcp tool provides OCR, UI recognition, and chart understanding functionality through a DashScope API with caching and fast mode options. It is ideal for automating image analysis tasks, such as data extraction or UI testing, with support for single or batch image processing.

Canonical page: https://skillsregistry.net/skills/bigcheese18-qwen-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bigcheese18-qwen-vision-mcp

## Description

MCP server that adds Qwen3-VL vision capabilities to Claude Code or any MCP client, enabling OCR, UI/screenshot recognition, and chart understanding. It provides tools for analyzing single or batch images via DashScope's OpenAI-compatible API, with caching and fast mode.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rwzzod0wel)
- **Repository:** <https://github.com/Bigcheese18/qwen-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": "bigcheese18-qwen-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bigcheese18-qwen-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bigcheese18-qwen-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