Deploy Rust apps directly from your AI assistant using Model Context Protocol. Zero config. AI-managed environments. Instant rollback.
Your AI detects Rust automatically and configures the build pipeline. No config files to write.
Set environment variables with natural language. The AI handles secrets, database URLs, and API keys.
Something wrong? Tell your AI to roll back. Previous versions are always one sentence away.
The AI detects Cargo.toml, identifies the binary target, and starts the release build.
Deploy my Rust API from github.com/me/my-rust-api
Configure environment variables for your Rust app. The AI handles compile-time and runtime vars.
Set DATABASE_URL and RUST_LOG=info
CreateOS compiles with `cargo build --release`, optimizes the binary, and deploys it.
Build in release mode and deploy
Monitor your Rust service's exceptional performance with real-time metrics from chat.
Show me response times and memory usage
Your AI auto-configures these environment variables for Rust:
DATABASE_URLRUST_LOGPORTJWT_SECRETFor Rust apps, we recommend PostgreSQL. Provision it with one sentence:
> Create a PostgreSQL database and inject the connection string into my Rust app
Deploy Rust with MCP from any of these AI tools:
Add the CreateOS MCP endpoint to your AI tool and deploy Rust in seconds:
{
"mcpServers": {
"createos": {
"url": "https://api-createos.nodeops.network/mcp",
"headers": { "X-Api-Key": "YOUR_KEY" }
}
}
}Recibe actualizaciones de productos, historias de constructores y acceso anticipado a funciones que te ayudan a lanzar más rápido.
CreateOS es un espacio de trabajo inteligente y unificado donde las ideas pasan sin interrupciones del concepto al despliegue en producción, eliminando el cambio de contexto entre herramientas, infraestructura y flujos de trabajo, con la oportunidad de monetizar ideas de inmediato en el Marketplace de CreateOS.