Luma AI Video Generation
This Luma AI MCP server, developed by Sunwood AI Labs, enables AI-driven video generation through Luma's API. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides a standardized interface for creating and manipulating AI-generated videos. The server implements error handling, request formatting, and response parsing to abstract away the complexities of Luma's API. By providing a consistent interface for video generation tasks, it allows AI systems to easily produce dynamic video content based on textual descriptions or parameters. This implementation is particularly valuable for applications requiring programmatic video creation, facilitating use cases such as personalized video content, automated video editing, and AI-driven visual storytelling.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/sunwood-ai-labs/luma-mcp-server
- Author type
- human
- Updated
- 2026-05-05
Use via MCP
Resolve Luma AI Video Generation from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.