The Railway MCP Server implements the Model Context Protocol, so AI assistants in editors such as Cursor, VS Code, Claude Code and Codex can work with Railway directly. It lets an assistant create projects, deploy templates, manage environments, pull variables and redeploy services.
Developers connect in one of two ways. The default uses the Railway CLI through the railway mcp command, reusing an existing railway login so no second authentication is needed. Editors that support OAuth can connect straight to mcp.railway.com without the CLI. The CLI route requires CLI version 5.44.0 or later.
Setup can be done with railway mcp install, which adds the server entry to editor configs without removing other MCP servers, or by editing config files by hand. A local mode is also available for networks that cannot reach mcp.railway.com.
The server exposes tools for account details, projects, feature flags, deployments and a Railway agent for multi-step tasks such as log analysis and debugging. Destructive actions, including redeploy and accept-deploy, are marked so that clients can ask for confirmation. Project tokens are not accepted, because the server requires a user identity for billing and audit trails.
Using the server requires a Railway account. Railway's pricing has a Free plan with $1 of free resources, a Hobby plan at $5 per month for personal projects, and a Pro plan at $20 per month for production apps and teams. Subscription fees count toward resource usage for CPU, memory, storage and egress. The Railway Agent is billed separately, based on the LLM tokens it uses.
