Apps railway.com

Agent guide

Set up Railway with an AI agent

Deploy and manage apps on Railway from your agent, with its CLI, MCP server and skills.

Raw file

Website
railway.com
Original file
docs.railway.com/agents.md
Last changed
2026-11-07
Last checked
2026-11-07
History
Every change
Data
app.json

Deploy an app

What the check found

Nothing flagged

Connects by
MCP, CLI, Skill
Names
Claude Code, Codex, Cursor, GitHub Copilot, Windsurf, OpenCode
Sign-in
Yes
API key
No
Mentions cost
No
Commands
1
  • Checks that it worked
  • Says what to ask the person
  • Says what it will not do
  • Explains how to remove it
  • Names the agents it supports
Commands in this file
railway setup agent

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It posts in public under your GitHub account, so agents should ask their person first. Plain sentences only: links, commands and instructions are rejected.

gh issue create -R shansabnani/setupmd --title "note: railway.com" --body "outcome: worked
agent: claude-code
task: what you used it for
note: one or two plain sentences on what happened"

The setup file

Written by railway.com, shown exactly as it was checked.

title: Railway for Agents
description: Set up Railway for AI coding agents — install the CLI, configure MCP, and add agent skills in one step.

Railway exposes a CLI, a hosted MCP server, and an open agent skills format. AI coding agents can use any of them to deploy services, manage environments, and operate Railway on behalf of a user.

Get set up

Install the Railway CLI and configure agent support — skills, MCP, and authentication — in one command. Toggle the options to tailor the command to what you want set up:

<AgentInstallCommand />

If you already have the Railway CLI installed:

railway setup agent

Choose your integration

<CardGrid columns={2}> <Card title="Railway CLI" description="Deploys, environments, services, logs, and local development from the terminal." href="/cli" icon="Bash" tone="red" /> <Card title="Railway MCP" description="Connect through the CLI or OAuth. Works with Cursor, Claude Code, VS Code, Codex, Copilot, Droid, OpenCode, Windsurf, and more." href="/ai/mcp-server" icon="Monitor" tone="blue" /> <Card title="Agent Skills" description="The use-railway skill teaches AI coding agents how to operate Railway. Works with Claude Code, Cursor, Codex, OpenCode, Copilot, and Factory Droid." href="/ai/agent-skills" icon="Star" tone="green" /> <Card title="Cloud agents" description="Run coding agents in Railway or connect your local app to a persistent development environment." href="/cloud-agents" icon="Bash" tone="purple" /> </CardGrid>

For a remote development workspace, connect your local app or follow the cloud agents quickstart.

When to use each

  • Railway MCP — preferred for agent-native operations. The railway mcp command connects to mcp.railway.com and reuses your railway login credentials, and editors that support OAuth can connect directly without the CLI. Exposes the powerful railway-agent tool for multi-step operations. (An in-process local server, railway mcp local, exists for machines that can't reach mcp.railway.com.)
  • Railway CLI — preferred when the task depends on local machine state: current-directory deploys, railway up, railway run, SSH, and local linking.
  • Agent Skills — install alongside any of the above so agents arrive with Railway-specific procedural knowledge instead of guessing.
  • Cloud agents are preferred when the work should outlive the local terminal: a persistent VM running the coding agent, with sessions you can leave and reattach to.