Vidu Mcp

io.github.runapi-builder由 GitHub 帳號 runapi-builder 發布v0.1.1更新於 Oct 29, 2026

RunAPI MCP server for Vidu: create tasks, poll status, check pricing.

已驗證STDIO僅桌面媒體與設計AI 與機器學習

概覽

AI 產生的概覽

針對 Vidu 模型系列的 RunAPI MCP 伺服器,讓助理建立圖生影片與參考生影片任務、查詢任務狀態並查看價格。

可以做什麼
  • 依圖片或參考素材建立 Vidu 影片任務,可選擇等待任務進入終態
  • 查詢既有任務的目前狀態與最新結果資料
  • 在送出前查詢 RunAPI 上 Vidu 模型系列的價格
  • 回傳任務 ID、狀態、輸出連結與費用欄位供助理回報
適用情境
適合希望助理透過 RunAPI 上的 Vidu 產生短影片、且只限定在該模型系列而不載入完整 RunAPI 目錄的情境。也適合需要先查價格、或先送出任務稍後再輪詢的工作流程。
執行需求
以 stdio 方式在本機執行,通常用 npx 啟動 npm 套件,因此需要 Node.js。建立任務與查詢狀態需要 RunAPI 帳號:可用 login 工具開啟瀏覽器登入並寫入共用的 RunAPI 設定檔,或在無介面與 CI 環境中設定 RUNAPI_API_KEY 環境變數。僅查詢價格不需金鑰。
安裝前請注意
建立任務會在 RunAPI 帳號上產生費用,昂貴、耗時或批次請求前應先確認成本。login 工具會開啟瀏覽器並把 API 金鑰寫入共用設定檔,該檔案與 RUNAPI_API_KEY 都不應提交到版本庫。建立任務會把提示詞與輸入素材傳送到 RunAPI 服務。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Vidu Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

RunAPI Vidu MCP Server

Vidu API access for AI agents: run video generation operations, poll asynchronous results, and check pricing through one focused MCP server.

Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.

[npm version] [GitHub repository] [Apache-2.0 license] [MCP Server] [2 models]

Install | Tools | Models | Agent Prompts | Configuration | Links


Why This Package?

@runapi.ai/vidu-mcp is a focused Model Context Protocol server for the Vidu model line on RunAPI. It gives MCP-compatible assistants direct access to 2 endpoints and 2 model variants without loading the full RunAPI catalog.

Use this per-model server when an agent should stay scoped to Vidu. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.


Install

Add it to Claude Code:

bash
claude mcp add vidu -s user -- npx -y @runapi.ai/vidu-mcp

Use project scope when the server should be shared with a repository:

bash
claude mcp add vidu -s project -- npx -y @runapi.ai/vidu-mcp

Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:

json
{  "mcpServers": {    "vidu": {      "command": "npx",      "args": ["-y", "@runapi.ai/vidu-mcp"]    }  }}

check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login. Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.

Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.


Tools

ToolAuthPurpose
image_to_videoYesCreate a Vidu image to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
reference_to_videoYesCreate a Vidu reference to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
get_taskYesFetch the current status and latest payload for an existing task.
check_pricingNoLook up current pricing for a Vidu model and endpoint.

Models

Vidu covers 2 model variants across 2 endpoints. Each tool accepts the models listed for it:

ToolModels
image_to_videovidu-q4-image-to-video
reference_to_videovidu-q4-reference-to-video

Model availability can change between releases. Use check_pricing or the Vidu model page for the current catalog view.


Agent Prompts

Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.

Create a task

text
Run a Vidu image to video task with RunAPI.

The assistant can call check_pricing, then image_to_video, and return the task id, status, and output URLs.

Submit without waiting

text
Create the task but don't wait for it to finish.

The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.

Check pricing before creating

text
Check current Vidu pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the Vidu model page for the canonical catalog entry.


Configuration

The server resolves auth in this order:

  1. RUNAPI_API_KEY environment variable, useful for headless and CI hosts
  2. ~/.config/runapi/config.json, created by the MCP login tool or runapi login
  3. No key, which still allows check_pricing

The config file is normally managed by login. A pre-provisioned headless config can use:

json
{  "apiKey": "your_runapi_key"}

Do not commit real API keys.


Links

ResourceURL
Vidu model pagehttps://runapi.ai/models/vidu
npm package@runapi.ai/vidu-mcp
GitHub repositoryrunapi-ai/vidu-mcp
RunAPI MCP overviewrunapi.ai/mcp
RunAPI docsrunapi.ai/docs

License

Licensed under the Apache License, Version 2.0.

來源:README.md,提交 31827b2

工具

5

login

Authenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.

輸入參數force

image_to_video

Create a Vidu task on RunAPI (image to video). Returns a task id, status, and output URLs.

輸入參數waitaudiomodelprompttimeout_mscallback_urlduration_secondspoll_interval_msoutput_resolutionfirst_frame_image_url必填

reference_to_video

Create a Vidu task on RunAPI (reference to video). Returns a task id, status, and output URLs.

輸入參數waitaudiomodelprompt必填timeout_msaspect_ratiocallback_urlduration_secondspoll_interval_msoutput_resolutionreference_audio_urlsreference_image_urls必填

get_task

Fetch the current status and latest result payload for a vidu task.

輸入參數action必填task_id必填

check_pricing

Look up RunAPI pricing for the vidu model line.

輸入參數modelaction

版本歷史

2
  1. v0.1.1最新Oct 22, 2026
  2. v0.1.0Oct 15, 2026

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