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?
Add this badge to your README to show your security score and help users find safe servers.
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.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in ai-ml / entertainment
Persistent memory using a knowledge graph
Dynamic problem-solving through sequential thought chains
Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.
Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
MCP Security Weekly
Get CVE alerts and security updates for Luma MCP Server and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
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. |
AceDataCloud hosts a managed MCP server — no local installation required.
Endpoint: https://luma.mcp.acedata.cloud/mcp
All requests require a Bearer token. Use the API token from Step 1.
Connect directly on Claude.ai with OAuth — no API token needed:
https://luma.mcp.acedata.cloud/mcpAdd to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"luma": {
"type": "streamable-http",
"url": "https://luma.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):
{
"mcpServers": {
"luma": {
"type": "streamable-http",
"url": "https://luma.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to your VS Code MCP config (.vscode/mcp.json):
{
"servers": {
"luma": {
"type": "streamable-http",
"url": "https://luma.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Or install the [Ace Data Cloud MCP extension](https://marketplace.visualstudio.com/items?it