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Vinkius

Railway Connector for AI agents.

11 live capabilities

Manage cloud deployments and environment variables from your IDE.

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AI Agent

Why people use Railway

Railway for Cloud Deployment Management

This Connector changes that by bringing your cloud operations into your chat window. You can ask your agent to check your services, audit your volumes, or update your variables in seconds. You get a clear view of your infrastructure without the navigation fatigue.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a hands-free way to manage your cloud infrastructure through a chat interface.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Investigating a failed deployment

    A deployment failed and you don't know why.

  2. Real-world use case 02

    Rotating a production API key

    Need to rotate a production API key.

  3. Real-world use case 03

    Checking storage capacity

    Not sure how much storage a database is using.

Complete set · 11capabilities

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 11 available through Railway.

  1. 01 Capability

    List volumes

    This capability lists the persistent storage volumes in a project. It shows the volume name, ID, and size in gigabytes.

  2. 02 Capability

    Delete variable

    This capability removes an environment variable from a specific Railway service. Use it to clean up old secrets from your project.

  3. 03 Capability

    List deployments

    This capability shows the history of deployments for a specific service. It provides the status and timestamps for every run.

  4. 04 Capability

    List domains

    This capability lists all custom domains for a service. It also shows you the current SSL verification status for each one.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 11 available through Railway.

  1. 05 Capability

    List environments

    This capability lists the production, staging, and development environments for a project. Use it to see your environment split.

  2. 06 Capability

    Get project

    This capability retrieves the full details for a specific Railway project. It gives you the project name and description.

  3. 07 Capability

    List projects

    This capability lists all projects in your Railway account. It is the starting point for finding your project IDs.

  4. 08 Capability

    List services

    This capability lists the web apps, databases, and other services in a project. You can filter these by environment.

Capability set03 / 03

09—11

3 capabilities in this set.

Part of 11 available through Railway.

  1. 09 Capability

    Set variable

    This capability adds or updates an environment variable for a service. It applies the new value to all deployments in that environment.

  2. 10 Capability

    List variables

    This capability lists the names and scopes of all environment variables for a service. It keeps your values secure by not returning them.

  3. 11 Capability

    Get viewer

    This capability verifies the account details for your current API token. Use it to confirm which user is authenticated.

Set up in minutes

One URL. Then ask Railway to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Railway from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_gyaEYKFymfCXdzrzurtmOpGg4NHbs78KRVQqxdi8/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Railway, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Railway for the conversation.

Where the request belongs

Work Railway can move forward.

Built around the request

This is for the developer or DevOps engineer who is tired of context-switching between their code and a cloud dashboard. It's for the person who needs to check a deployment status or update a production variable at 10 PM and wants to do it without the friction of a web UI.

01

DevOps Engineer

Audits project configurations and manages persistent volumes without leaving the terminal.

02

Full-stack Developer

Checks deployment statuses and updates environment variables while staying in their IDE.

03

Team Lead

Monitors project health and audits variable security across multiple production environments.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Flightcontrol (AWS PaaS Deployments) logo
01 24 capabilities

Flightcontrol (AWS PaaS Deployments)

Deploy and manage AWS infrastructure via Flightcontrol. list projects, manage environments, and scale services directly from any AI agent.

View Connector
Railway logo
02 10 capabilities

Railway

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

View Connector
Flystack logo
03 5 capabilities

Flystack

Manage cloud infrastructure. audit deployments, clusters, and metrics via AI.

View Connector
Cloudify logo
04 7 capabilities

Cloudify

Orchestrate cloud infrastructure via Cloudify. manage blueprints, deployments, and monitor workflow executions directly from any AI agent.

View Connector
Render logo
05 9 capabilities

Render

Automate your PaaS infrastructure via Render. list your services, deploy code, check logs, and scale resources directly from any AI agent.

View Connector
Zeabur (PaaS Deployment) logo
06 9 capabilities

Zeabur (PaaS Deployment)

Deploy services, manage containers, and send transactional emails via Zeabur PaaS directly from your AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Railway connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Railway.

The practical details behind the request, access and result.

Can the Railway MCP manage my production secrets?

Yes, you can use it to set and manage environment variables for any service in your production, staging, or development environments.

How does the Railway MCP help with deployment tracking?

It allows your AI agent to pull the full history of your service deployments, showing you success rates, timestamps, and current status.

Can I use the Railway MCP to check my SSL certificates?

Yes, it can list your custom domains and show you whether the SSL status is verified, pending, or failed.

Does the Railway MCP support persistent storage?

It can list all your persistent volumes, showing you the size and which service each volume is attached to.

Can I use this Connector to see all my different Railway projects at once?

Yes, it provides a full list of your projects, including their names and descriptions, so you can get an overview of your entire account.

Will the Railway MCP help me manage my databases?

It allows your agent to list and inspect all services in a project, including your databases and Redis instances.

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.

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.

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.

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.

One connection away

Give your agent a direct line to Railway.

Connect Railway once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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