Veo2 Video Generation
MCP Video Generation with Veo2 exposes Google's Veo2 video generation capabilities through a TypeScript server implementation. Developed by mario-andreschak, it enables AI assistants to generate videos from text prompts or images, with support for various configuration options like aspect ratio, duration, and prompt enhancement. The server provides tools for video generation, image creation, and resource management, while supporting both stdio and SSE transports for flexible integration. Generated content is stored locally with metadata and can be accessed through MCP resources, making it valuable for creating visual content from textual descriptions or enhancing existing images with motion.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · 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/mario-andreschak/mcp-veo2
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Veo2 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.