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千问 Computer Use MCP Setup & Guide

MCP ServerGitHub 中文Official

io.github.QwenLM/open-computer-use

通义千问团队开源的 MCP 化 Computer Use 服务,让 AI 代理操作桌面 GUI,可适配 Qwen Code 及任意 MCP 客户端。

Copy the install config on this page first, then verify docs and permissions upstream.

Popularity

Stars298

Overview

通义千问团队开源的 MCP 化 Computer Use 服务,让 AI 代理操作桌面 GUI,可适配 Qwen Code 及任意 MCP 客户端。 千问 Computer Use is a MCP Server listed from GitHub CN. Transports: stdio. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

国内服务千问Computer Use桌面自动化

Use cases

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-10-29
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from github-cn
Verified ClientsClaude Code、Claude Desktop、Cursor 等
Security Tier: A+ 级 · 官方认证推荐 (A+)·Maintained by official/verified teams, audited for standard MCP protocol compliance.
No auto-generated install guide — see the source repository README.

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for 千问 Computer Use

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for 千问 Computer Use?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet
# Check binary path in terminal:
which npx
node -v
Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Tool Mock Playground

Sandbox

千问 Computer Use Tool Interface Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: open_computer_useExecute the core tool interface of 千问 Computer Use
Request ArgumentsJSON Schema
{
  "target": "千问 Computer Use",
  "action": "execute",
  "options": {
    "mode": "standard",
    "timeoutMs": 5000
  }
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • PR review
  • Changelog generation
  • Cross-repo issue search
When NOT to Use
  • Replacing human security audit
  • Unauthorized repo access
Recommended Workflow Pairing:View Scenario →

千问 Computer Use + Scenario Prompt → Complete Agent Automation

MCP hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

Related resources

Often paired with

文生图 通义 Qwen Image 2 Pro

v1.3.35

SkillClawHub93.5k

io.clawhub.dlazyai/dlazy-qwen-image-2-pro

Alibaba Bailian qwen-image-2.0-pro general image generation. Excels at complex text rendering, multi-line layout, photorealistic detail, and strong semantic adherence — great for mixed text/image designs. 阿里云百炼 qwen-image-2.0-pro 千问通用图像生成模型,擅长复杂文本渲染、多行布局、真实质感与语义遵循,支持中英文混排与精细图文设计。

source

中文公文写作

v2.0.46

SkillClawHub7210.6k

io.clawhub.gongyu0918-debug/chinese-official-writing

用于中文公文、事务性材料和新闻稿件的起草、改写、压缩、润色、审校、文种核对、去口语化、降 AI 味及 Word 格式处理,适用于机关、企事业单位、学校和新闻机构。涵盖申请、请示、报告、通知、通告、意见、决定、决议、议案、公报、命令、函、复函、批复、说明、方案、纪要、公告、公示、通报、制度、规定、办法、细则、操作规程、工作要点、总结、调研、讲话、致辞、主持词、述职、可研、审查材料、技术需求、新闻消息、编者按、新闻评论,以及采购、整改、反馈和 AI 算力等场景。

source

Keep exploring AgentHub

Most people compare similar tools or check scenario guides before installing—start here.

Listing badge: put AgentHub on your site

Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.

PreviewListed on AgentHub: 千问 Computer Use
HTML
<a href="https://myagenthub.cn/p/io.github.QwenLM/open-computer-use" title="Listed on AgentHub: 千问 Computer Use" target="_blank" rel="noopener">
  <img src="https://myagenthub.cn/badge/io.github.QwenLM/open-computer-use?lang=en" alt="Listed on AgentHub: 千问 Computer Use" height="20" style="border:0"/>
</a>
Markdown (GitHub README)
[![Listed on AgentHub: 千问 Computer Use](https://myagenthub.cn/badge/io.github.QwenLM/open-computer-use?lang=en)](https://myagenthub.cn/p/io.github.QwenLM/open-computer-use)

Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.

Unified Manifest

{
  "id": "io.github.QwenLM/open-computer-use",
  "type": "mcp-server",
  "version": "latest",
  "displayName": "千问 Computer Use",
  "description": "通义千问团队开源的 MCP 化 Computer Use 服务,让 AI 代理操作桌面 GUI,可适配 Qwen Code 及任意 MCP 客户端。",
  "author": {
    "name": "QwenLM",
    "url": "https://github.com/QwenLM",
    "image": "https://avatars.githubusercontent.com/u/141221163?v=4"
  },
  "iconUrl": "https://avatars.githubusercontent.com/u/141221163?v=4",
  "license": "MIT",
  "repository": {
    "url": "https://github.com/QwenLM/open-computer-use",
    "source": "github"
  },
  "homepage": "https://github.com/QwenLM/open-computer-use",
  "distribution": {
    "packages": [
      {
        "registryType": "source",
        "identifier": "QwenLM/open-computer-use",
        "runtimeHint": "open-computer-use",
        "transport": "stdio"
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode",
    "trae",
    "cherry-studio",
    "lingma",
    "windsurf",
    "cline",
    "workbuddy"
  ],
  "keywords": [
    "stars:298",
    "国内服务",
    "千问",
    "Computer Use",
    "桌面自动化"
  ],
  "provenance": {
    "origin": "github-cn",
    "originalId": "QwenLM/open-computer-use",
    "originalUrl": "https://github.com/QwenLM/open-computer-use",
    "isOfficial": true,
    "status": "active"
  }
}
千问 Computer Use MCP Setup & Guide - AgentHub