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Railway MCP Server

Name: Railway
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR ToolsFree for Subscribers

Equip your AI with direct access to your Railway infrastructure — manage projects, deployments, services, and environment variables.

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What is the Railway MCP Server?

The Railway MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Railway via 10 tools. Equip your AI with direct access to your Railway infrastructure — manage projects, deployments, services, and environment variables. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

create_projectdelete_projectget_projectget_service_instanceslist_deploymentslist_projectslist_variablesrestart_servicetrigger_deploywhoami

Tools for your AI Agents to operate Railway

Ask your AI agent "List all active projects on my Railway account." and get the answer without opening a single dashboard. With 10 tools connected to real Railway data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

Railway MCP Server capabilities

10 tools

create_project

Creates a new Railway project

delete_project

This action is irreversible. Deletes a Railway project

get_project

Retrieves details for a specific Railway project

get_service_instances

Retrieves runtime configuration for a service

list_deployments

Lists deployments for a specific project, environment, and service

list_projects

Lists all Railway projects accessible by the token

list_variables

Lists environment variables for a service

restart_service

Restarts a running service instance

trigger_deploy

Triggers a new deployment for a service

whoami

Retrieves the authenticated Railway user profile

What the Railway MCP Server unlocks

Connect your Railway cloud infrastructure to an AI agent, streamlining operations directly from your chat terminal. By configuring this integration, the AI gains programmatic management over your active deployments and environments.

What you can do

Project Management — Create new projects or query existing ones to assess active cloud architectures without opening the web dashboard.
Deployment Oversight — Review build statuses, trigger new deployments, and read rollout logs to ensure stable releases.
Service Configuration — List, update, or restart operational services mapped within your Railway projects securely.
Environment Variables — Manage sensitive configuration keys by securely pulling, updating, or syncing environment values across instances.

How it works

1. Enable the MCP server integration for Railway.
2. Add your Railway API Token to the configuration.
3. Ask your AI to list projects, fetch deployment health, or handle your services seamlessly.

Who is this for?

DevOps Engineers — Restart unhealthy containers or verify environment variables quickly from within a VS Code interface.
Fullstack Developers — Trigger deployments after wrapping up a pull request and oversee the operational results interactively.
System Administrators — Conduct fast routine checks on service connectivity scaling without having to rely entirely on separate client applications.

Frequently asked questions about the Railway MCP Server

How do I create a Railway API token?

Log into your main Railway dashboard. Navigate to your Account Settings and head to the 'Tokens' section. Generate a standard Personal Access API Token, copy it definitively, and paste it into the secure configuration field provided by the MCP integration here.

Can I target specific environments (like Staging vs Production)?

Yes. Each API operation supports passing explicit project_id and environment_id variables, ensuring the AI performs operations strictly inside your requested boundaries.

Is restarting a service destructive?

It behaves identically to clicking 'Restart' on the Railway dashboard. It forces an immediate container recycle for the specific service based on the last successful build.