ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Railway with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Equip your AI with direct access to your Railway infrastructure. manage projects, deployments, services, and environment variables.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete Railway capability set.

These are the exact actions your AI can choose when you ask it to work with Railway.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Railway.

  1. 01

    Get project

    Retrieves details for a specific Railway project

  2. 02

    List deployments

    Lists deployments for a specific project, environment, and service

  3. 03

    List projects

    Lists all Railway projects accessible by the token

  4. 04

    List variables

    Lists environment variables for a service

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Railway.

  1. 05

    Restart service

    Restarts a running service instance

  2. 06

    Trigger deploy

    Triggers a new deployment for a service

  3. 07

    Whoami

    Retrieves the authenticated Railway user profile

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Railway.

  1. 08

    Delete project

    This action is irreversible. Deletes a Railway project

  2. 09

    Create project

    Creates a new Railway project

  3. 10

    Get service instances

    Retrieves runtime configuration for a service

Observed, not estimated

874ms average. Fast in production.

Railway is checked daily against the live service.

Daily averagePeak 1084ms
Aug 20Today
Fastest day
740ms
Slowest day
1084ms
14-day trend
Slowing+32%

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

FAQ

Questions Railway owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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.