Seedance Prompts Mcp

io.github.hanshs474由 GitHub 帳號 hanshs474 發布v1.0.1更新於 Oct 27, 2026

Search, audit and compose AI video prompts — 150 of them, each rendered into a real video

發布方自己的服務:Kavel Mcp

已驗證STDIO僅桌面知識與記憶媒體與設計

概覽

AI 產生的概覽

本機 MCP 伺服器,讓助理在內建的 150 條實際渲染過的 Seedance 影片提示詞中搜尋、閱讀、審查並組合新提示詞。

可以做什麼
  • 以英文或日文全文搜尋 150 條內建影片提示詞,可依分類或是否使用參考圖篩選
  • 讀取提示詞的英文與日文全文、範例影片連結及執行位置
  • 列出十個分類及各自的條目數量
  • 依渲染提示詞中統計的七個要素審查草稿,並提供可參考措辭的真實提示詞
  • 用這七個要素加上時間軸節點,依括號格式組合出新提示詞
適用情境
適合撰寫或檢查 AI 影片生成提示詞(尤其是 Seedance)時使用,希望參考真正渲染過的範例,而非未經檢驗的文字。也適合檢查草稿漏掉了哪些要素。
執行需求
需要 Node.js 18 以上版本,透過 npx 在本機執行;另有 PyPI 上的 Python 版本可供 uvx 使用。不需 API 金鑰、沒有相依套件,執行時也不連網,提示詞集已內建。
安裝前請注意
僅供唯讀:只做搜尋、審查與文字組合,不生成影片。範例影片連結指向第三方日本 AI 影片網站,在該站執行提示詞屬於此外的獨立付費服務。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Seedance Prompts 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

Seedance Prompts MCP

150 AI video prompts that were each actually rendered into a video. Search them, read the full text in English and Japanese, watch the clip the prompt produced, audit your own draft against what the rendered prompts specify, or compose a new one — all from your MCP client.

Most "prompt library" packages ship prompts nobody ran, so you find out what a prompt does only after you spend a generation on it. Here the clip came first: every entry links to the video that this exact text produced, and the audit tool measures your draft against all 150 of them rather than against someone's opinion of good prompting.

Add it to your client with the two lines below, then ask it to find you a prompt.

Install

Node 18+. No dependencies, no API key, no network access at runtime — the prompt set is bundled.

json
{  "mcpServers": {    "seedance-prompts": {      "command": "npx",      "args": ["-y", "seedance-prompts-mcp"]    }  }}

Claude Desktop: claude_desktop_config.json. Cursor: .cursor/mcp.json. Any other stdio MCP client takes the same two lines.

Tools

ToolWhat it does
search_promptsFree-text search over 150 prompts (English or Japanese), filter by category or by whether the prompt expects a reference image.
get_promptFull English + Japanese prompt text, the example video URL, and where to run it.
list_categoriesThe ten categories and how many prompts each holds.
check_promptAudits a draft against the seven elements measured across all 150 rendered prompts — style, scene, subject, camera, lighting, sound, timeline. Names what is missing, why it matters, and hands you a real prompt to copy from.
build_promptComposes those seven elements plus timeline beats into the bracket format the rendered prompts use, and tells you which fields you left to the model.

Why the audit is worth running

The seven elements are not a style guide someone invented — they are counted over the bundled set at load time. Across the 150 rendered prompts, camera work is specified in half of them and audio in far fewer: those two are where drafts most often leave the result to chance. Seedance 2 generates audio together with the video, so an unspecified soundtrack is a decision you handed over rather than a field you skipped.

check_prompt("A woman turns around in a neon alley at night")→ 2/7 · missing: camera work, lighting, sound, timeline …  each with the reason it matters and a rendered prompt to copy the phrasing from

Example

search_prompts({ query: "product commercial", limit: 3 })get_prompt({ slug: "perfume-product-advertisement-generation-prompt-for-seedance-2-0" })→ prompt_en, prompt_ja, example_video (mp4), source

Where the prompts come from

They are the public prompt library of Emaki, a Japanese AI video site running Seedance 2 and Seedance 2.5. Each entry there has the prompt, the settings and the resulting clip. 32 of the 150 are image-to-video prompts that show how to address multiple reference images (@Image1, @Image2) — the part that is hardest to guess.

Pick a prompt and run it in the browser: text to video · image to video · Seedance 2.5 (up to 30 seconds with audio in one pass).

License

MIT. The prompt texts are published by Emaki for reuse; the example videos stay on Emaki's CDN.

Python build

The same server for uvx users lives on PyPI as seedance-prompts-mcp — same five tools, same bundled prompts, standard library only. Source is in python/; the prompt data is copied from src/prompts.json at publish time so the two builds cannot drift apart.

來源:README.md,提交 05917c3

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v1.0.1最新Sep 16, 2026

評分

已滿足適用檢查項的 50%

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。

  • 近 30 天內可連通25 分

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  • 已宣告認證方式10 分

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  • 已列出工具15 分

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