Create AI videos with SeedanceAI by text to video, text to image, image editing, and image to
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Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"seedanceai-mcp": {
"args": [
"/absolute/path/to/seedanceai-mcp/src/index.mjs"
],
"command": "node"
}
}
}Are you the author?
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Create AI videos with SeedanceAI by text to video, text to image, image editing, and image to
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npx -y 'seedanceai-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
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Checked seedanceai-mcp against OSV.dev.
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SeedanceAI Video Generator | Image & Text to Video
A Model Context Protocol server that exposes the canonical SeedanceAI 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://seedanceai.online
Seedance AI is a browser-based video generation platform powered by ByteDance's Seedance 1.0 model. It lets anyone turn a text prompt or a static image into a short, high-quality video without installing any software. The platform supports outputs up to 1080p resolution and produces videos of roughly ten seconds, with natural motion and stable subject structure throughout. A free usage tier is available alongside an optional Pro upgrade, making the tool accessible for quick experimentation as well as more sustained production work. The interface is straightforward: choose a mode, write a prompt or upload an image, pick a style and resolution, and generate.
Seedance AI is aimed at content creators, marketers, and developers who need fast video output without a steep learning curve or expensive tooling. Creators who regularly produce short-form video for social platforms will find the multi-shot and style options directly useful. Marketers and product teams benefit from the image-to-video path, which lets them repurpose existing assets quickly. Developers evaluating ByteDance's Seedance 1.0 model get a hands-on interface to test capabilities before building integrations. The fr