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Connect Railway to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Control your deployments and services directly from your chat interface.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Railway.

  1. 01

    Delete project

    This capability deletes a Railway project. Use this with caution as the action cannot be undone.

  2. 02

    Create project

    This capability creates a brand new Railway project in your account.

  3. 03

    Get project

    This capability retrieves specific details for a single Railway project.

  4. 04

    Get service instances

    This capability fetches the current runtime configuration for a specific service.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Railway.

  1. 05

    List projects

    This capability returns a list of all Railway projects your API token can access.

  2. 06

    List variables

    This capability pulls the environment variables currently set for a service.

  3. 07

    List deployments

    This capability shows the deployment history for a specific project, environment, and service.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Railway.

  1. 08

    Restart service

    This capability triggers a restart for a running service instance.

  2. 09

    Trigger deploy

    This capability starts a new deployment for a service.

  3. 10

    Whoami

    This capability identifies the authenticated Railway user profile.

Real work

What teams actually run

01

Rapid Deployment Checks

After pushing code, ask your agent if the new build succeeded or if it failed.

02

Emergency Service Restarts

When a service hangs, tell your agent to restart the instance immediately.

03

Environment Audits

Ask your agent to list variables to ensure the correct keys are present in production.

04

Infrastructure Inventory

Get a quick list of all your projects and their current status.

Automate a task

Put Railway to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Railway works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Railway to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

883ms average. Fast in production.

Railway is checked daily against the live service.

Daily averagePeak 1007ms
Oct 3Today
Fastest day
722ms
Slowest day
1007ms
14-day trend
Slowing+23%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Railway, so you can see the experience inside your AI.

It does not authenticate your account with Railway. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Railway Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_a8eCEa2i1OeIeZf94td6ehqGhkyTpyYgWR4bHQG6/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Railway capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "railway-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_a8eCEa2i1OeIeZf94td6ehqGhkyTpyYgWR4bHQG6/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Railway in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Railway owners hand off.

This MCP is built for technical users who want to manage cloud infrastructure without switching between their editor and a web browser.

  • 01

    DevOps Engineers

    They use the agent to quickly restart unhealthy containers or verify environment variables.

  • 02

    Fullstack Developers

    They trigger deployments immediately after code changes and monitor the results.

  • 03

    System Administrators

    They perform routine service connectivity and scaling checks through a chat interface.

FAQ

Questions Railway owners ask.

  • 01

    How do I connect my Railway account?

    You need to add your Railway API Token to the MCP configuration within Vinkius. Once added, your AI client can immediately start interacting with your projects.

  • 02

    Can I delete projects using this MCP?

    Yes, the delete_project capability allows you to remove projects. Be careful, as this action is irreversible.

  • 03

    Which AI clients can I use with this?

    This MCP works with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 04

    Is my API token secure?

    Vinkius manages your credentials and keeps them secure while hosting the MCP for you.

  • 05

    Can the AI see my environment variables?

    Yes, the AI can use the list_variables capability to retrieve the environment variables configured for your services.

  • 06

    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.

  • 07

    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.

  • 08

    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.

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