Seedance 2.0 MCP

Official registry Media and design

Create AI videos with Seedance 2.0 by text to video, text to image, image editing, and image to

What can you do with Seedance 2.0 MCP?

  • 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.

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Seedance 2.0 MCP Server
  2. 🎨 About Seedance 2.0
  3. Key Features
  4. Use Cases
  5. Who Is It For
  6. Tools
  7. Resources
  8. Prompts
  9. Installation
  10. Official Links
  11. Development
  12. License

Seedance 2.0 MCP Server

Seedance 2.0 AI Video Generator | Image & Text to Video

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.

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

Development

pnpm install
pnpm start                 # run the server over stdio

License

MIT

Frequently asked questions

What is Seedance 2.0 MCP?

Create AI videos with Seedance 2.0 by text to video, text to image, image editing, and image to

How do I install Seedance 2.0 MCP?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is Seedance 2.0 MCP open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Seedance 2.0 MCP?

It is published by rocnubie. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.