Railway
Empowers AI clients to manage Railway.app cloud infrastructure by deploying services, managing variables, and monitoring deployments through natural language commands.
Acerca de
This server integrates the Railway.app platform with Model Context Protocol (MCP) clients, such as Claude, to provide natural language control over your cloud infrastructure. It empowers users to deploy services from GitHub repositories or Docker images, manage environment variables, monitor deployments, and perform various other DevOps tasks on Railway.app without directly interacting with the Railway dashboard or CLI. Designed to streamline development and operations workflows, it bridges the gap between AI assistance and cloud resource orchestration, enhancing productivity for developers.
Características Principales
- Authenticate and manage Railway projects with API tokens
- Trigger new deployments and monitor their health and logs
- Manage environment variables (list, set, delete, bulk update)
- Create, list, and delete services from GitHub repos or Docker images
- 0 GitHub stars
- Handle service networks and volume management
Casos de Uso
- Setting up and configuring new services on Railway.app using natural language
- Automating environment variable management across multiple Railway projects and services
- Orchestrating and monitoring cloud deployments on Railway.app via AI clients
