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 帳號 AceDataCloud 發布v2026.11.1.0更新於 Nov 1, 2026
MCP server for Qwen Image 3 AI image generation
針對 Qwen Image 3 的 MCP 伺服器,讓助理透過 Ace Data Cloud 生成與編輯圖片,並查詢任務狀態。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.AceDataCloud%2Fmcp-qwen-image/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"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.
來源: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.
無需輸入參數。
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必填已滿足適用檢查項的 100%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
{ "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"} } }}