
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
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
在 SourceWeft 中
- 打开 控制台中的 Seedance Prompts Mcp,将其添加到工作区。
- 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.
Claude Desktop: claude_desktop_config.json. Cursor: .cursor/mcp.json. Any other stdio MCP
client takes the same two lines.
Tools
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.
Example
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版本历史
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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- 近 30 天内可连通25 分
请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。
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- 已列出工具15 分
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- 描述必需15 分
- 图标10 分
- 文档15 分
- 许可证10 分
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