Seedance 2 MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Seedance 2 MCP ServerGenerate a text-to-video of a robot dancing in a neon city."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Seedance 2 MCP Server
A focused Model Context Protocol server for generating Seedance 2 videos through MuAPI. It exposes only the Seedance 2 workflows, so an assistant gets useful model-specific schemas instead of a large general-purpose catalog.
The implementation is informed by SamurAIGPT/muapi-mcp-server: it forwards a MuAPI key, keeps generation asynchronous, and provides both an MCP stdio transport and a small HTTP bridge.
๐บ Video Tutorial

How to Access Seedance 2.5 API (Step-by-Step Guide) โ a full walkthrough of getting an API key and making your first Seedance 2.5 call via MuAPI.
Related MCP server: Google Veo 3.1 MCP Server
Related Projects
MuAPI Seedance 2 โ Model landing page and browser playground links for the Seedance 2 family.
MuAPI MCP documentation โ Hosted MCP setup and tool-use guidance.
MuAPI access keys โ Create the API key required by this server.
Seedance-2-API โ Python wrapper for Seedance 2.0 and Seedance 2 Mini.
seedance-2-generator โ Ready-made Next.js SaaS built on Seedance 2.
seedance2-comfyui โ Seedance 2 custom nodes and workflows for ComfyUI.
n8n-nodes-seedance2 โ Automate Seedance 2 generation in n8n.
awesome-seedance-2.5-api-prompts โ Prompt and camera-control references for the Seedance family.
muapi-mcp-server โ Broad MuAPI MCP server reference for Claude, Cursor, and other clients.
Open-Generative-AI โ Open-source media studio that uses MuAPI for image and video workflows.
Included tools
Tool | Purpose |
| Text-to-video generation; |
| Animate one or more image references |
| Generate a transition from one or two frame images |
| Combine image, video, and audio references |
| Poll a MuAPI prediction by |
| Read the MuAPI credit balance |
Generation tools return the completed prediction when used over stdio. The HTTP bridge returns a local request ID immediately and exposes the result at /mcp/predictions/{request_id} or as server-sent events.
Quick start
git clone https://github.com/Anil-matcha/seedance-2-mcp.git
cd seedance-2-mcp
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
export MUAPI_API_KEY=your_muapi_key_hereRun the standards-based stdio server for an MCP client:
python mcp_stdio.pyRun the local HTTP bridge instead:
python mcp_server.py
# http://localhost:8000/docsMUAPIAPP_API_KEY is accepted as a backwards-compatible alternative. MUAPI_BASE_URL, MUAPI_HTTP_TIMEOUT, MUAPI_POLL_INTERVAL, and MUAPI_POLL_TIMEOUT can be used for local testing or a compatible MuAPI deployment.
Claude Code
With MUAPI_API_KEY exported in the shell used by Claude Code:
claude mcp add seedance-2 -- python /absolute/path/to/seedance-2-mcp/mcp_stdio.pyCursor, Windsurf, and Claude Desktop
Copy the mcp.json entry and replace the placeholder path. Keep the API key in the client environment; do not commit it.
{
"mcpServers": {
"seedance-2": {
"command": "python",
"args": ["/absolute/path/to/seedance-2-mcp/mcp_stdio.py"],
"env": {
"MUAPI_API_KEY": "${MUAPI_API_KEY}"
}
}
}
}HTTP bridge
The HTTP process is useful for local integrations that need a simple request/poll surface:
curl http://localhost:8000/mcp/tools
curl -X POST http://localhost:8000/mcp/tools/seedance_2_text_to_video/call \
-H "Authorization: Bearer $MUAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"arguments": {
"prompt": "A red paper boat drifting through a sunlit forest stream, cinematic camera movement",
"duration": 5,
"aspect_ratio": "16:9",
"quality": "standard"
}
}'Poll the returned local ID:
curl http://localhost:8000/mcp/predictions/REQUEST_ID
curl -N http://localhost:8000/mcp/predictions/REQUEST_ID/streamThe bridge allowlists all upstream paths and never accepts an arbitrary endpoint URL. Generation and polling consume MuAPI credits according to the selected route.
Model notes
The server uses MuAPI's Seedance 2 API routes. A single image is a start frame; multiple images can be referenced in the prompt as @image1, @image2, and so on. Omni reference inputs use @imageN, @videoN, and @audioN. For reproducible prompts, keep the full scene, camera, lighting, and motion direction in the prompt.
Docker
docker build -t seedance-2-mcp .
docker run --rm -p 8000:8000 -e MUAPI_API_KEY="$MUAPI_API_KEY" seedance-2-mcpDevelopment
python -m unittest discover -s tests -v
python -m compileall -q server_core.py mcp_server.py mcp_stdio.pyLicense
MIT. See LICENSE.
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