MCP server for Luma Dream Machine AI video generation
MCP MCP server exists for a simple reason — assistants are far more useful when they can act on MCP directly instead of describing what you should do. MCP server for Luma Dream Machine AI video generation.
Generate AI videos directly from Claude, VS Code, or any MCP-compatible client.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Once MCP is connected, these are the calls the assistant has available:
Cline — The Cline tool exposed by this serverTasks — The Tasks tool exposed by this serverInformation — The Information tool exposed by this serverYou will need 5 environment variables: ACEDATACLOUD_API_TOKEN, YOUR_API_TOKEN, ACEDATACLOUD_API_BASE_URL, ACEDATACLOUD_OAUTH_CLIENT_ID, ACEDATACLOUD_PLATFORM_BASE_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Among the planning and project tracking options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MCP's toolset — Cline, Tasks, Information — is a fair guide to whether it matches your workflow. It is maintained by AceDataCloud; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Cline | The Cline tool exposed by this server. |
| Tasks | The Tasks tool exposed by this server. |
| Information | The Information tool exposed by this server. |
{
"mcpServers": {
"luma": {
"type": "streamable-http",
"url": "https://luma.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| ACEDATACLOUD_API_TOKEN | Credential the server authenticates with. | Yes |
| YOUR_API_TOKEN | Credential the server authenticates with. | Yes |
| ACEDATACLOUD_API_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| ACEDATACLOUD_OAUTH_CLIENT_ID | Configuration value read at startup. | Optional |
| ACEDATACLOUD_PLATFORM_BASE_URL | Endpoint or connection string the server talks to. | Yes |
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.