Seedance Prompts Mcp

io.github.hanshs474由 GitHub 账号 hanshs474 发布v1.0.1更新于 Oct 27, 2026

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

发布方自己的服务:Kavel Mcp

已验证STDIO仅桌面知识与记忆媒体与设计

概览

AI 生成的概览

本地 MCP 服务器,让助手在内置的 150 条已实际渲染的 Seedance 视频提示词中搜索、阅读、审查并组合新提示词。

可以做什么
  • 用英文或日文全文搜索 150 条内置视频提示词,可按分类或是否使用参考图筛选
  • 读取提示词的英文与日文全文、示例视频链接及运行位置
  • 列出十个分类及各自条目数量
  • 按渲染提示词中统计的七个要素审查草稿,并给出可借鉴措辞的真实提示词
  • 用这七个要素加时间线节点,按括号格式组合出新提示词
适用场景
适合撰写或检查 AI 视频生成提示词(尤其是 Seedance)时使用,希望参考真正渲染过的示例而非未经检验的文本。也适合检查草稿遗漏了哪些要素。
运行要求
需要 Node.js 18 或更高版本,通过 npx 在本地运行;另有 PyPI 上的 Python 版本可供 uvx 使用。无需 API 密钥、无依赖,运行时也不访问网络,提示词集已内置。
安装前请注意
仅限只读:只做搜索、审查和文本组合,不生成视频。示例视频链接指向第三方日本 AI 视频网站,在该站运行提示词属于本服务器之外的独立付费服务。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Seedance Prompts Mcp,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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.

来源:README.md,提交 05917c3

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v1.0.1最新Sep 16, 2026

评分

已满足适用检查项的 50%

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