Railway

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This is an unofficial, community-built Model Context Protocol (MCP) server designed to bridge AI clients like Claude, Cursor, and others with the Railway.app cloud hosting platform. It enables users to orchestrate their Railway infrastructure, including deploying services from GitHub repositories or Docker images, managing environment variables, and monitoring deployments, all through natural language commands within their preferred MCP client. The server aims to streamline development and deployment workflows by allowing AI agents to interact directly with Railway's API, enhancing productivity and automation for cloud resource management.

Características Principales

• Authentication with Railway API tokens for secure access
• Environment and service variable management (list, set, delete, bulk update, copy)
• Comprehensive project management capabilities (list, info, create, delete)
• Service creation from GitHub repositories or Docker images, along with management and updates
• Deployment control including listing, triggering, restarting, and viewing logs
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Casos de Uso

• Deploying and managing new services on Railway.app through natural language commands from AI clients.
• Automating the setup, modification, and deletion of environment variables for projects and services.
• Monitoring existing deployments and triggering restarts directly via AI, especially when combined with Git MCP servers.