Seedance by Ace Data Cloud

Seedance by Ace Data Cloud

简体中文安装与首用指南

A Model Context Protocol (MCP) server for AI video generation using ByteDance Seedance through the AceDataCloud API.

Generate AI videos directly from Claude, VS Code, or any MCP-compatible client.

Use Seedance in Glama

Find the Ace-provided Seedance source listing or remote connector. Follow the Glama installation, API Token and first-use guide. Public discovery and a successful personal connection are separate checks; generation uses your Ace account balance.

Seedance in goose

Use the independent Seedance by Ace Data Cloud native goose plugin: install and API Token guide · 简体中文. It reuses this MCP server and does not imply goose Marketplace or default-provider inclusion.

Find the Seedance integration in the official MCP Registry

Open Seedance in the official MCP Registry, expand the matching io.github.AceDataCloud entry, and use its Packages or Remotes installation information in a client that consumes MCP catalogs. This is the Seedance integration provided by Ace Data Cloud; it is not an endorsement by the model vendor. The Registry is a directory, not the app that runs a tool.

Search for mcp-seedance (or io.github.AceDataCloud/mcp-seedance) to locate the exact entry. The official Registry search currently matches server names; spaces in a display title do not create extra search aliases. If your client does not consume the catalog, use the client-specific connection instructions below and check Applications → General application for your token, service permissions, balance and current price. Keep the original task ID when checking asynchronous results.

Verify the connection before generating

After installation, discover the server's tools and call seedance_list_models with no arguments. This reference tool returns locally defined model or action information without calling a generation API. It does not validate your application key, account balance, service access, or current price. Your client's Chat model can still create separate charges.

To check authenticated access without creating media, query a task already owned by your application using the task-lookup tool and the same original task ID. If you have no existing task, stop after discovery/reference output; do not generate media just to test installation. Review current pricing before any new generation.

For missing tools, reconnect and refresh the tool list. For 401/403, check the existing application's key, service permissions, Allowed APIs, expiration and usage limit before replacing credentials. Keep a task/trace ID for other failures, never your key; do not automatically retry a paid operation.

Connect: hosted OAuth, API token, or local stdio

The hosted endpoint is https://seedance.mcp.acedata.cloud/mcp. Choose one route for the MCP client:

The hosted service advertises OAuth metadata and Dynamic Client Registration (DCR). DCR registers the client application; it is not an API key. OAuth signs you in and the client sends the resulting Bearer token; it may reuse or create an API credential for the account. Browser sign-in still requires an AceDataCloud account. The hosted service can be metered: review current service documentation and displayed pricing before a real operation. Do not configure both an OAuth login and a fixed Authorization header for the same server.

Hosted OAuth examples

• Claude and Claude Desktop chat: Add a remote custom connector in Customize → Connectors → Add custom connector, enter https://seedance.mcp.acedata.cloud/mcp, select sign-in, and choose Register automatically if Claude asks how to register its OAuth client. Complete consent. Claude Desktop's local claude_desktop_config.json is a separate setup. Claude connector guide.
• Claude Code: claude mcp add --transport http --scope user seedance https://seedance.mcp.acedata.cloud/mcp, then claude mcp login seedance. Check /mcp. Claude Code MCP guide.
• Cursor: Add a remote server with only https://seedance.mcp.acedata.cloud/mcp. For a project, merge the entry below into /.cursor/mcp.json; for personal use, use ~/.cursor/mcp.json. Cursor MCP guide.
• VS Code / Copilot: Run MCP: Add Server, select HTTP, enter https://seedance.mcp.acedata.cloud/mcp, then finish the browser sign-in. New portable workspace configs use /.mcp.json; the VS Code-specific format below uses /.vscode/mcp.json or the user profile. Check MCP: List Servers. VS Code MCP setup.
• Codex: codex mcp add seedance --url https://seedance.mcp.acedata.cloud/mcp, then codex mcp login seedance. Its user settings are in ~/.codex/config.toml. Official Codex MCP guide.

Cursor project config (OAuth):

{

"mcpServers": { "seedance": {"url": "https://seedance.mcp.acedata.cloud/mcp"} } }

VS Code-specific workspace config (OAuth):

{

"servers": { "seedance": {"type": "http", "url": "https://seedance.mcp.acedata.cloud/mcp"} } }

Hosted API token

1. Open Ace Data Cloud → Applications. Sign in, or register an account first.
2. Find General application. If it has not been created, choose Initialize General Application. A general key can use the services available to your account; a dedicated application's key is limited to its service. Check the required service/model access and current pricing.
3. Copy the API Key from the application card, or open Keys / Manage Keys → Create to create a separate key for this integration. Give it a recognizable name so you can revoke or rotate it independently.
4. When creating a key, review Expiration Time, Set Usage Limitation, and Allowed APIs. Enable only the restrictions you need, allow the operations you will call, then click Create and copy the token from the key list. Task lookup does not grant permission to submit a generation. Confirm the application's balance can cover your first request; any trial allowance is whatever your account currently displays.
5. Copy only the token value, without quotation marks, spaces, or Bearer . An API Key / API Token field expects this raw value; only a manually configured HTTP Authorization header needs the Bearer prefix. A platform-... account-management token cannot replace a generation API key.

Save the key in the client's credential store or the environment variable shown below. Never put it in a prompt, shared workflow, screenshot, or Git commit. If authentication fails, check the full copied value, application/service access, expiration, usage limit, and balance before creating another key.

A fixed Bearer header bypasses OAuth. If the header is invalid, remove it before trying browser sign-in; keep the saved credential private.

For Claude Code, the shell expands the token when you add the server; treat the saved user MCP config as a secret:

export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'

claude mcp add --transport http --scope user seedance https://seedance.mcp.acedata.cloud/mcp \ --header "Authorization: Bearer $ACEDATACLOUD_API_TOKEN"

For a Claude Code project config, put a variable reference in /.mcp.json and set that variable in the environment that launches Claude Code:

{

"mcpServers": { "seedance": { "type": "http", "url": "https://seedance.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer ${ACEDATACLOUD_API_TOKEN}"} } } }

Cursor uses a different environment-variable syntax in ~/.cursor/mcp.json or an uncommitted project config:

{

"mcpServers": { "seedance": { "url": "https://seedance.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer ${env:ACEDATACLOUD_API_TOKEN}"} } } }

In VS Code, run MCP: Open User Configuration and merge this server plus its masked input; ${input:...} is for VS Code's user/workspace format and is not portable to the Agent Host .mcp.json format:

{

"inputs": [ {"id": "acedata-seedance-token", "type": "promptString", "description": "AceDataCloud API token", "password": true} ], "servers": { "seedance": { "type": "http", "url": "https://seedance.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer ${input:acedata-seedance-token}"} } } }

For Cline, use its MCP configuration UI or CLI file ~/.cline/data/settings/cline_mcp_settings.json; its remote transport value is streamableHttp. For JetBrains AI Assistant, add a remote URL from Settings → Tools → AI Assistant → Model Context Protocol (MCP). For Zed, use a context_servers entry with the URL only for OAuth or add a local Bearer header. These clients have different configuration schemas; follow their curr