qwen_image_generate
Generate one to six images from text with Qwen Image 3.
nseedsizemodelprompt必填watermarkcallback_urlprompt_extendenable_thinkingnegative_promptprompt_extend_mode
io.github.AceDataCloud由 GitHub 账号 AceDataCloud 发布v2026.11.1.0更新于 Nov 1, 2026
MCP server for Qwen Image 3 AI image generation
面向 Qwen Image 3 的 MCP 服务器,让助手通过 Ace Data Cloud 生成和编辑图片,并查询任务状态。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.AceDataCloud%2Fmcp-qwen-image/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"qwen-image": {
"type": "http",
"url": "https://qwen-image.mcp.acedata.cloud/mcp"
}
}
}Model Context Protocol server for Qwen Image 3 generation and editing through Ace Data Cloud.
The hosted endpoint is https://qwen-image.mcp.acedata.cloud/mcp. Choose one route for the MCP client:
The hosted service advertises OAuth metadata and Dynamic Client Registration (DCR). DCR registers the client application; it is not an API key. OAuth signs you in and the client sends the resulting Bearer token; it may reuse or create an API credential for the account. Browser sign-in still requires an AceDataCloud account. The hosted service can be metered: review current service documentation and displayed pricing before a real operation. Do not configure both an OAuth login and a fixed Authorization header for the same server.
Customize → Connectors → Add custom connector, enter https://qwen-image.mcp.acedata.cloud/mcp, select sign-in, and choose Register automatically if Claude asks how to register its OAuth client. Complete consent. Claude Desktop's local claude_desktop_config.json is a separate setup. Claude connector guide.claude mcp add --transport http --scope user qwen-image https://qwen-image.mcp.acedata.cloud/mcp, then claude mcp login qwen-image. Check /mcp. Claude Code MCP guide.https://qwen-image.mcp.acedata.cloud/mcp. For a project, merge the entry below into <project>/.cursor/mcp.json; for personal use, use ~/.cursor/mcp.json. Cursor MCP guide.https://qwen-image.mcp.acedata.cloud/mcp, then finish the browser sign-in. New portable workspace configs use <project>/.mcp.json; the VS Code-specific format below uses <project>/.vscode/mcp.json or the user profile. Check MCP: List Servers. VS Code MCP setup.codex mcp add qwen-image --url https://qwen-image.mcp.acedata.cloud/mcp, then codex mcp login qwen-image. Its user settings are in ~/.codex/config.toml. Official Codex MCP guide.Cursor project config (OAuth):
VS Code-specific workspace config (OAuth):
Bearer . An API Key / API Token field expects this raw value; only a manually configured HTTP Authorization header needs the Bearer prefix. A platform-... account-management token cannot replace a generation API key.[Copy an application API key or open Manage Keys]
[Create a separately named key with optional restrictions]
Save the key in the client's credential store or the environment variable shown below. Never put it in a prompt, shared workflow, screenshot, or Git commit. If authentication fails, check the full copied value, application/service access, expiration, usage limit, and balance before creating another key.
A fixed Bearer header bypasses OAuth. If the header is invalid, remove it before trying browser sign-in; keep the saved credential private.
For Claude Code, the shell expands the token when you add the server; treat the saved user MCP config as a secret:
For a Claude Code project config, put a variable reference in <project>/.mcp.json and set that variable in the environment that launches Claude Code:
Cursor uses a different environment-variable syntax in ~/.cursor/mcp.json or an uncommitted project config:
In VS Code, run MCP: Open User Configuration and merge this server plus its masked input; ${input:...} is for VS Code's user/workspace format and is not portable to the Agent Host .mcp.json format:
For Cline, use its MCP configuration UI or CLI file ~/.cline/data/settings/cline_mcp_settings.json; its remote transport value is streamableHttp. For JetBrains AI Assistant, add a remote URL from Settings → Tools → AI Assistant → Model Context Protocol (MCP). For Zed, use a context_servers entry with the URL only for OAuth or add a local Bearer header. These clients have different configuration schemas; follow their current UI rather than copying another client's JSON. Cline · JetBrains · Zed.
Install the package and give the local process an API token:
For Claude Desktop local MCP, merge this entry into the file opened by its developer settings (~/Library/Application Support/Claude/claude_desktop_config.json on macOS). uvx requires uv on PATH:
Keep this user-level file private. Self-hosted HTTP uses mcp-qwen-image --transport http --port 8000; expose it only with suitable network and TLS controls. Local execution still calls the AceDataCloud API.
https://qwen-image.mcp.acedata.cloud/health returning {"status":"ok"} checks endpoint reachability only.qwen_image_list_models is a reference tool; it does not verify downstream API access or balance.qwen_image_get_task on that same ID until terminal success or failure. A finished_at: null task is still running even when response.success is false. Do not resubmit the operation just to check progress.For 401, check which auth route the client used and whether the token or OAuth session is valid. A 403 may mean an account permission or content moderation failure; read the returned error. Insufficient balance and downstream service failures need their own diagnosis. A listed tool or submitted task does not prove a successful result.
Models: qwen-image-3.0 (default) and qwen-image-3.0-pro.
来源:README.md,提交 9366ce4
Generate one to six images from text with Qwen Image 3.
nseedsizemodelprompt必填watermarkcallback_urlprompt_extendenable_thinkingnegative_promptprompt_extend_modeEdit images with one to three references and a text instruction.
nseedsizemodelprompt必填watermarkimage_urls必填callback_urlprompt_extendenable_thinkingnegative_promptprompt_extend_modeList Qwen Image 3 models and their intended use.
无需输入参数。
Query the status and result of a Qwen Image image generation or edit task. Use this to check if a generation/edit is complete and retrieve the resulting image URLs and metadata. Use this when: - You want to check if an image generation has completed - You need to retrieve image URLs from a previous generation - You want to get the full details of a generated/edited image Returns: Task status and image information including URLs, prompts, and metadata.
task_id必填Query multiple Qwen Image image tasks at once. Efficiently check the status of multiple tasks in a single request. More efficient than calling qwen_image_get_task multiple times. Use this when: - You have multiple pending generations to check - You want to get status of several images at once - You're tracking a batch of generations Returns: Status and image information for all queried tasks.
task_ids必填已满足适用检查项的 100%
该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。
{ "mcpServers": { "qwen-image": {"url": "https://qwen-image.mcp.acedata.cloud/mcp"} }}{ "servers": { "qwen-image": {"type": "http", "url": "https://qwen-image.mcp.acedata.cloud/mcp"} }}export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'claude mcp add --transport http --scope user qwen-image https://qwen-image.mcp.acedata.cloud/mcp \ --header "Authorization: Bearer $ACEDATACLOUD_API_TOKEN"{ "mcpServers": { "qwen-image": { "type": "http", "url": "https://qwen-image.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer ${ACEDATACLOUD_API_TOKEN}"} } }}{ "mcpServers": { "qwen-image": { "url": "https://qwen-image.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer ${env:ACEDATACLOUD_API_TOKEN}"} } }}{ "inputs": [ {"id": "acedata-qwen-image-token", "type": "promptString", "description": "AceDataCloud API token", "password": true} ], "servers": { "qwen-image": { "type": "http", "url": "https://qwen-image.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer ${input:acedata-qwen-image-token}"} } }}python -m pip install mcp-qwen-imageexport ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'mcp-qwen-image{ "mcpServers": { "qwen-image": { "command": "uvx", "args": ["mcp-qwen-image"], "env": {"ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"} } }}