We built a Railway MCP server that lets AI coding agents deploy apps and manage infrastructure directly from your code editor.

Railway Blog

Railway has launched an MCP server that lets AI coding agents deploy apps and manage infrastructure directly from code editors like VS Code, Cursor, or Claude Code. The server exposes tools for deploying services, managing environments, setting variables, and retrieving logs. Key design decisions include omitting destructive delete tools to prevent accidental data loss, and using a local (stdio) transport rather than a remote HTTP server, leveraging the existing Railway CLI for authentication. Railway's pay-per-use pricing and vertical autoscaling make it cost-efficient for agent-driven experimentation, and isolated environments allow multiple agents to work in parallel without interfering with each other.

Railway MCP - Stateful, Serverful, Pay-per-use Infrastructure

Railway as the ideal deployment target for agents