Seedance 2.0 MCP Server

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.

Category
Visit Server

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

<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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured