mcpField
S
Seedance 2.0 Mcp Server

Seedance 2.0 Mcp Server

Local
seedance2video.onlineMedia & Design0Updated 23w ago

About Seedance 2.0 Mcp Server

Seedance 2.0 MCP Server gives compatible AI clients read-only access to the platform’s styles, pricing, documentation, and FAQs. It is for users looking up Seedance 2.0 reference information, with tools, resources, and prompts for discovery.

Key features

  1. 01Look up image-generation styles
  2. 02View pricing and official links
  3. 03Access docs and FAQs
  4. 04Get platform and style prompts

Use cases

  1. 01Check available image styles in a client
  2. 02Find the Seedance 2.0 pricing entry point
  3. 03Retrieve official documentation and support links

MCP support

The MCP server exposes read-only Seedance 2.0 information to compatible clients through tools, resources, and prompts, including styles, pricing, docs, FAQs, and official links.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Seedance 2.0 MCP Server

Seedance 2.0 AI Video Generator | Image & Text to Video

MCP Badge smithery Zero Config Stdio Transport MCP License: MIT Node

Seedance 2.0

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

Development

pnpm install
pnpm start                 # run the server over stdio

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.