Railway is a Deployment MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent deploy apps to Railway platform. Install in 1 minute with mcpizy install railway.
mcpizy install railwaynpx -y @railway/mcp-serverIf Railway doesn't fit your stack, these Deployment MCP servers solve similar problems.
The Railway MCP server is an Deployment Model Context Protocol server that lets Claude Code, Cursor, Windsurf, VS Code with Copilot, and other MCP-compatible AI agents deploy apps to Railway platform. It exposes Railway's capabilities as tools the AI can call directly from your editor or CLI.
The fastest way is the MCPizy CLI: run `mcpizy install railway` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y @railway/mcp-server` and restarting Claude Code.
Yes. The Railway MCP server is free and open source (see the GitHub repository linked on this page). You may still need a Railway account or API key to connect the server to the underlying service, but the MCP layer itself has no MCPizy subscription cost.
Yes. Any MCP-compatible client works — including Claude Code, Claude Desktop, Cursor (via `.cursor/mcp.json`), Windsurf, VS Code with Copilot Chat, and custom agents built on the MCP SDK. The same install command targets all of them; only the config file path differs.
Once installed, your AI agent can deploy apps to Railway platform directly inside your conversation. Typical use cases include asking Claude Code or Cursor to run Railway operations, inspect results, chain Railway with other MCP servers (see our Workflow Recipes), and automate repetitive deployment tasks without leaving your editor.