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Connect Railway (Alternative) 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. Run your infrastructure through natural conversation.

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 · 11 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 11 available through Railway.

  1. 01

    List projects

    This capability returns a list of all your Railway projects, including their names and descriptions. It's the best way to start any operation by getting your project IDs.

  2. 02

    List services

    Use this to see every service, like databases or web apps, within a specific project. You can filter the results by environment to narrow things down.

  3. 03

    Set variable

    This capability updates an environment variable for a specific service and environment. The change takes effect on the next deployment.

  4. 04

    List variables

    This capability shows the names and scopes of all environment variables for a service. For security, it does not return the actual values.

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 11 available through Railway.

  1. 05

    Get viewer

    This capability identifies the Railway account associated with your current API token. Use it to verify you are logged into the right account.

  2. 06

    List volumes

    This capability retrieves a list of all persistent storage volumes in a project. It shows you the size of each volume and which service is using it.

  3. 07

    List deployments

    This capability pulls the deployment history for a specific service. You can see if recent attempts succeeded, failed, or are still in progress.

  4. 08

    List domains

    Use this to check the custom domains attached to a service. It reports the domain string and whether the SSL certificate is verified or failing.

Capability set03 / 03

09-11

3 capabilities in this set.

Part of 11 available through Railway.

  1. 09

    List environments

    This capability lists all environments, such as production or staging, within a project. It helps you see how your services are segregated.

  2. 10

    Get project

    This capability fetches detailed information for a specific project using its ID. It's useful for getting a deep dive into a single project's setup.

  3. 11

    Delete variable

    This capability removes an environment variable from a service. Once deleted, that variable is no longer available to your deployments.

Real work

What teams actually run

01

Rapid Debugging

When a deployment fails, ask your agent to check the deployment history to find the error immediately.

02

Environment Updates

Update a production database URL by simply telling your agent which service and environment to target.

03

Resource Auditing

Check how much storage your persistent volumes are consuming across different services.

04

Domain Verification

Verify that your custom domains have valid SSL certificates without opening the Railway dashboard.

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

877ms average. Fast in production.

Railway is checked daily against the live service.

Daily averagePeak 1047ms
Oct 3Today
Fastest day
726ms
Slowest day
1047ms
14-day trend
Stable0%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 11 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_gyaEYKFymfCXdzrzurtmOpGg4NHbs78KRVQqxdi8/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-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_gyaEYKFymfCXdzrzurtmOpGg4NHbs78KRVQqxdi8/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 leaving their development environment.

  • 01

    Developers

    They use the agent to check deployment statuses and update variables without switching to a browser.

  • 02

    DevOps Engineers

    They use the agent to audit project configurations and manage persistent storage volumes.

  • 03

    Team Leads

    They use the agent to monitor project health and verify environment segregation.

FAQ

Questions Railway owners ask.

  • 01

    How do I connect this MCP to my Railway account?

    You subscribe to the MCP on Vinkius and enter your Railway Personal Access Token. Once connected, it is ready to use in any compatible client.

  • 02

    Can my AI see my secret environment variable values?

    No. For security, the list_variables capability only returns the names and scopes of variables, not their actual values.

  • 03

    Which AI clients can I use with this?

    You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.

  • 04

    Does changing a variable trigger a new deployment?

    The variable becomes available to the service, and the change will be active on the next deployment of that service.

  • 05

    Can I manage multiple environments at once?

    Yes, you can specify the environment, such as production or staging, for any service or variable operation.

  • 06

    How do I create a Railway Personal Access Token?

    Log in to the Railway Dashboard, go to Account Settings > Tokens, and click Create Token. You can create a no-workspace token for broad access or a project-scoped token for limited access. Copy the token immediately. it won't be shown again.

  • 07

    Can I manage environment variables via the agent?

    Yes! Use list_variables to see all variable names (values are hidden for security) for a service in an environment. Use set_variable to create or update a variable with a name and value, and delete_variable to remove one. You'll need the service_id and environment_id from the list capabilities.

  • 08

    What types of services does Railway support?

    Railway supports any containerized service: web applications (Node.js, Python, Go, Rust, Java), databases (PostgreSQL, MySQL, Redis, MongoDB), message brokers and custom Docker images. Each service is deployed as an isolated container with its own environment variables, domains and persistent volumes.

  • 09

    How do I find my service_id and environment_id?

    Use list_projects to get your project_id, then list_environments with that project_id to get the environment_id. Next, use list_services with the project_id (and optionally environment_id) to get the service_id. These IDs are required for variable, deployment and domain operations.

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