Seedance 2.0 MCP Server
Provides read-only access to Seedance 2.0 AI video generator information including styles, pricing, documentation, and official links for MCP-compatible AI clients like Claude Desktop, Cursor, Windsurf, and Continue.
README
Seedance 2.0 MCP Server
Seedance 2.0 AI Video Generator | Image & Text to Video
<p align="center"><a href="https://seedance2video.online"><img src="./assets/hero.png" alt="Seedance 2.0" width="720" /></a></p>
A Model Context Protocol server that exposes the canonical Seedance 2.0 knowledge surface — image generation workflows and styles, pricing, docs, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.
Official website: https://seedance2video.online
🎨 About Seedance 2.0
Seedance 2 Video is an AI-powered video generation platform built on ByteDance Seed's multimodal creation model. The site lets users turn text prompts or still images into short video clips — up to 15 seconds long — without any video editing background. The underlying model handles complex motion with strong physical accuracy and accepts a wide range of inputs in a single project: up to nine images, three video clips, and three audio files can be combined to shape the output. The result is a direct path from a written idea or a product photo to a finished, publishable video clip, suitable for social media posts, advertisements, or landing page animations.
Key Features
- Text-to-video generation — describe a scene in plain language and the model produces a matching video clip.
- Image-to-video conversion — upload a still image and animate it into motion footage with controlled scene behavior.
- Multimodal reference inputs — mix up to 9 images, 3 video references, and 3 audio clips in a single generation request to guide style, motion, and sound.
- Shot list prompting — structure complex sequences using a shot-by-shot approach rather than a single long prompt, giving tighter control over narrative flow.
- Physical motion accuracy — the model is tuned to respect realistic movement, making it better suited for product demonstrations and scenes where objects interact with their environment.
- Multi-language interface — the platform is accessible in English, German, French, Spanish, Japanese, Korean, and Arabic.
Use Cases
- Product demos and launches — generate short clips showing a product in use without arranging a photo or video shoot.
- Social media content — produce short-form videos for Instagram Reels, TikTok, or YouTube Shorts directly from a text brief.
- Advertising creatives — iterate quickly on ad concepts by testing different visual directions from the same script or image set.
- Landing page animations — turn static hero images into looping background video without commissioning motion designers.
- Explainer and storyboard prototyping — sketch out a visual narrative with a shot list before committing to full production.
Who Is It For
Seedance 2 Video is aimed at creators and small marketing teams who need video output on a fast cycle but lack the budget or time for traditional production workflows. The platform's emphasis on multimodal inputs and shot-level control makes it practical for growth marketers running paid campaigns, independent content creators building a regular publishing schedule, and product teams who want to prototype visual storytelling before investing in a full shoot. It does not require technical knowledge of AI models; the interface is designed around familiar creative inputs like images, written descriptions, and audio references, making it accessible to anyone comfortable with standard content creation tools.
Tools
list_styles
Return the canonical list of image-generation styles or presets the site exposes. (Seedance 2.0)
Input: no parameters. Returns: text/markdown.
get_pricing
Return the canonical pricing entry point for Seedance 2.0.
Input: no parameters. Returns: text/markdown.
get_official_links
Return the canonical list of official links for Seedance 2.0 (website, support, docs when available).
Input: no parameters. Returns: text/markdown.
Resources
site://seedance2video/styles— Supported image-generation styles and presets.site://seedance2video/pricing— Canonical pricing entry point.site://seedance2video/docs— Canonical documentation entry point.site://seedance2video/faq— Short FAQ generated from public site metadata.site://seedance2video/links— Canonical URLs to share with users.
Prompts
tell_me_about_seedance2video
Summarize what the site is, who it's for, and how it works. — Seedance 2.0
try_image_style_seedance2video
Recommend a starting image-generation style for a stated goal. — Seedance 2.0
Installation
Install via Smithery
npx -y @smithery/cli install seedance2video-mcp --client claude
(Replace claude with cursor, windsurf, or continue for those clients.)
Install from source
git clone https://github.com/rocnubie/seedance2video-mcp.git
cd seedance2video-mcp
pnpm install
Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):
{
"mcpServers": {
"seedance2video-mcp": {
"command": "node",
"args": [
"/absolute/path/to/seedance2video-mcp/src/index.mjs"
]
}
}
}
Debug with MCP Inspector
npx @modelcontextprotocol/inspector node src/index.mjs
Official Links
- Website: https://seedance2video.online
- Pricing: https://seedance2video.online/pricing
- Docs: https://docs.seedance2video.online
- Community: https://discord.gg/HQNnrzjZQS
- GitHub: https://github.com/AIImageEditorai/AIImageEditor-template-one
- Support: support@seedance2video.online
Development
pnpm install
pnpm start # run the server over stdio
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。