RunwayML + Luma AI
This MCP server provides tools for generating videos and images using RunwayML and Luma AI APIs. Built with TypeScript, it offers text-to-video, image-to-video, and image generation capabilities, along with management features for Luma AI generations including listing, deleting, adding audio, and upscaling content. The implementation includes prompt enhancement via OpenRouter LLMs to improve generation quality. It uses asynchronous polling to track generation progress and delivers results through progress notifications, making it particularly useful for creative workflows that combine multiple generation steps like creating base images and animating them into videos.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/wheattoast11/mcp-video-gen
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve RunwayML + Luma AI 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.