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MCP Qwen Image logo
Health: ActiveRecent health check succeeded.Last checked 10/4/2026, 7:01:32 AM

MCP Qwen Image

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image-generationqwenmcpai-tools

Generate and edit Qwen Image 3 images through MCP using hosted OAuth, API tokens, or local stdio.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below โ€” values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mcp-qwen-image": {
      "command": "uvx",
      "args": [
        "mcp-qwen-image"
      ],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "YOUR_VALUE_HERE"
      }
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (5) Directory Badge Claim listing Alternatives๐Ÿ’ป More in Developer Tools

Overview

The mcp-qwen-image MCP server connects MCP clients to Ace Data Cloud's Qwen Image 3 generation and editing service. It exposes tools for text-to-image generation, reference-image editing, model comparison, and asynchronous task status checks. Use the hosted endpoint for OAuth or Bearer-token access, or install the package for a local stdio process that still calls Ace Data Cloud. It fits agent workflows that need image creation or editing without building a direct service integration.

Use cases

โ€ขGenerate images from text prompts in an MCP client
โ€ขEdit reference images through an agent workflow
โ€ขCompare Qwen Image Standard and Pro models
โ€ขTrack one or more asynchronous image tasks
โ€ขConnect image tools to Claude, Cursor, or VS Code

Key features

โ€ขText-to-image generation for 1โ€“6 images
โ€ขReference-image editing for 1โ€“3 images
โ€ขSingle-task status queries
โ€ขBatch task status queries
โ€ขStandard and Pro model comparison
โ€ขHosted OAuth, Bearer token, and local stdio access

Capabilities & Tool Schemas (5) ~58 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Qwen Image.

qwen_image_generate

Generate 1โ€“6 images from text

qwen_image_edit

Edit with 1โ€“3 reference images

qwen_image_get_task

Query one asynchronous task

qwen_image_get_tasks_batch

Query multiple tasks

qwen_image_list_models

Compare Standard and Pro

How MCP Qwen Image works

What mcp-qwen-image MCP server does

The mcp-qwen-image MCP server exposes Ace Data Cloud's Qwen Image 3 service through the Model Context Protocol. It supports creating images from text, modifying existing images with references, checking asynchronous operations, and comparing the available Standard and Pro models.

The available models are qwen-image-3.0, which is the default, and qwen-image-3.0-pro. Generation requests can return between one and six images. Editing requests accept between one and three reference images.

How it works

MCP clients can connect to the hosted endpoint at https://qwen-image.mcp.acedata.cloud/mcp. Hosted access supports either browser-based OAuth or an Ace Data Cloud API token sent as a Bearer credential. OAuth requires an Ace Data Cloud account and client consent; it does not require putting a token in the client configuration.

A local installation runs over stdio and uses the mcp-qwen-image command. Local execution does not make the service self-contained: requests continue to use the Ace Data Cloud API. The package can also start an HTTP transport locally with a specified port, but network exposure and TLS remain the operator's responsibility.

Image operations may be asynchronous. After an operation returns a task ID, use qwen_image_get_task to check that task until it reaches a terminal state. qwen_image_get_tasks_batch provides status checks for multiple tasks. Repeating the original generation or editing request is not the appropriate way to check progress.

Setup and configuration

For local stdio use, install the package with python -m pip install mcp-qwen-image, set ACEDATACLOUD_API_TOKEN, and run mcp-qwen-image. Claude Desktop can launch it through uvx, provided that uv is installed and available on PATH.

For hosted OAuth, configure only the hosted URL and complete the sign-in flow in the client. For token-based access, send Authorization: Bearer with the API token. Do not configure OAuth and a fixed authorization header for the same server. Keep tokens out of committed files, screenshots, and shared configuration.

The README documents setup for Claude Desktop, Claude Code, Cursor, VS Code, Codex, Cline, JetBrains AI Assistant, and Zed. Their configuration formats differ, so use the client-specific schema rather than copying a configuration from another client.

Tools and capabilities

  • qwen_image_generate: creates one to six images from a text prompt.
  • qwen_image_edit: edits images using one to three reference images.
  • qwen_image_get_task: checks one asynchronous task.
  • qwen_image_get_tasks_batch: checks several asynchronous tasks.
  • qwen_image_list_models: lists or compares the Standard and Pro model options.

Limitations and notes

The mcp-qwen-image MCP server depends on Ace Data Cloud for processing, authentication, account access, and service availability. Hosted operations may be metered, so review the current service documentation and displayed pricing before making real requests.

The /health endpoint only checks whether the hosted endpoint is reachable. Loading the tools or calling qwen_image_list_models does not confirm downstream API access, account balance, or a successful image operation. A 401 generally requires checking the selected authentication route and credential; a 403 can indicate account permissions or content moderation. Balance problems and downstream failures require separate diagnosis.

A successful tool listing or submitted task is not proof that an image was produced. Check returned task IDs and read terminal errors before treating an operation as complete.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

Last commit
5d ago
Most recent push to the default branch.
Tools exposed
5
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about MCP Qwen Image

mcp-qwen-image is an MCP server that connects MCP clients to Ace Data Cloud's Qwen Image 3 service. Its main tools generate images from text, edit images with references, compare Standard and Pro models, and check one or multiple asynchronous image tasks.

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Technical Specs & Signals

Category๐Ÿ’ปDeveloper Tools
More technical detailsExpand โ–พ
TransportSTDIO
RuntimePython
ClientsClaude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), OpenAI Codex CLI, Cline / VS Code, JetBrains AI Assistant, Zed
Last updatedOct 8, 2026
8/8 checks healthy over the last 41d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit5d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 4, 2026
49Quality signal: Fair ยท 49/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev ยท mcp-qwen-image (PyPI)

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