Luma MCP Server is an MCP server that MCP server for Luma Dream Machine AI video generation. Its tool list has not been published yet over stdio and http, requires no API key, and scores 57/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"luma": {
"url": "https://luma.mcp.acedata.cloud/mcp",
"type": "streamable-http",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Are you the author?
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A Model Context Protocol (MCP) server for AI video generation using Luma Dream Machine through the AceDataCloud API.
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
uvx 'mcp-luma' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked mcp-luma against OSV.dev.
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A Model Context Protocol (MCP) server for AI video generation using Luma Dream Machine through the AceDataCloud API.
Generate AI videos directly from Claude, VS Code, or any MCP-compatible client.
| Tool | Description |
|---|---|
luma_generate_video | Generate AI video from a text prompt using Luma Dream Machine. |
luma_generate_video_from_image | Generate AI video using reference images as start and/or end frames. |
luma_extend_video | Extend an existing video with additional content. |
luma_extend_video_from_url | Extend an existing video using its URL. |
luma_get_task | Query the status and result of a video generation task. |
luma_get_tasks_batch | Query multiple video generation tasks at once. |
luma_list_aspect_ratios | List all available aspect ratios for Luma video generation. |
luma_list_actions | List all available Luma API actions and corresponding tools. |
The hosted endpoint is https://luma.mcp.acedata.cloud/mcp. Choose one route for the MCP client:
| Route | When to use it | Credential setup |
|---|---|---|
| Hosted OAuth | The client supports remote MCP OAuth | Add only the URL, then sign in to AceDataCloud and approve access. No token needs to be pasted into client configuration. |
| Hosted API token | The client cannot finish OAuth, or you need an explicit integration credential | Send an AceDataCloud API token in the Authorization: Bearer … header. Keep it in a local secret store or environment variable. |
| Local stdio | The client runs a local MCP process | Install mcp-luma and pass ACEDATACLOUD_API_TOKEN to that process. It still calls the AceDataCloud API. |
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.
Customize → Connectors → Add custom connector, enter https://luma.mcp.acedata.cloud/mcp, select sign-in, and choose Register automatically if Claude asks how to register its OAuth client. Complete consent