AI

Railway provides tools for integrating with AI coding assistants, letting you manage your infrastructure through natural language.

Integration options

Railway Agent

The Railway Agent is a chat-based assistant built directly into the Railway dashboard. It can manage services, diagnose failing deployments, and open pull requests to fix issues in your code.

Runs inside the Railway dashboard with no setup required
Creates and configures services, variables, databases, and networking
Automatically diagnoses failed deployments and proposes fixes

Get started with the Railway Agent →

Cloud agents

Cloud agents run Claude Code, Codex, or Grok CLI on a persistent Railway virtual machine, signed in as you. Launch one from the terminal and reconnect to it later with your work still in place.

Runs the coding agent you already use, with your own credentials
Keeps its disk between runs, and sleeps when you disconnect
Manages agents and sessions from railway ca

Get started with cloud agents →

Agent integrations

Agent integrations bring the Railway Agent into your team chat on Slack and Discord. Mention @Railway to inspect deployments, read logs, and make changes without leaving the conversation.

Install from your account settings with one click per platform
Each teammate acts with their own Railway access; usage bills to the linked workspace
Currently in beta

Get started with agent integrations →

Agent Skills are an open format for extending AI coding assistants with specialized knowledge about Railway. The use-railway skill guides AI agents to perform tasks like deploying services, managing environments, and querying metrics.

Works with Claude Code, Cursor, OpenAI Codex, and OpenCode
Install with a single command
Covers project setup, deployments, networking, observability, and more

Get started with Agent Skills →

Plugins and connectors

Railway provides official plugins and connectors for ChatGPT, Codex, Claude, Claude Code, Grok Build, and Cursor. These integrations package Railway workflows for each assistant and connect to the hosted Railway MCP server.

Install from the plugin or connector directory built into your assistant
Use the use-railway skill and hosted Railway MCP server from supported plugin hosts
Connect Claude directly through Railway OAuth without a local CLI installation

Get started with plugins and connectors →

MCP server

The Railway MCP Server implements the Model Context Protocol, enabling direct communication between AI assistants and your Railway infrastructure. Choose between the local server (runs through the Railway CLI) or the hosted remote server at mcp.railway.com (OAuth, no local install).

One command to install: railway mcp install (add --remote for the hosted server)
Create projects, deploy templates, manage environments, pull variables
Works with Cursor, VS Code, Claude Code, Codex, Copilot, Factory Droid, OpenCode, Windsurf, Cline, and Devin

Get started with MCP Server →

AI