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Railway Alternative MCP Server for Mastra AI 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Railway Alternative through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "railway-alternative": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Railway Alternative Agent",
    instructions:
      "You help users interact with Railway Alternative " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Railway Alternative?"
  );
  console.log(result.text);
}

main();
Railway Alternative
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Railway Alternative MCP Server

Connect your Railway account to any AI agent and take full control of your cloud deployments through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Railway Alternative tool infrastructure. Connect 11 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

What you can do

  • Project Discovery — List all projects and retrieve their details including names, descriptions and timestamps
  • Environment Management — View all deployment environments (production, staging, development) per project
  • Service Inspection — List all services (containers, databases, plugins) within a project, optionally filtered by environment
  • Deployment Tracking — View deployment history with status (success, failed, deploying) for any service
  • Variable Management — List, set and delete environment variables for services in specific environments
  • Volume Audit — List persistent storage volumes with their sizes and associated services
  • Domain Management — Review custom domains and their SSL certificate status for any service

The Railway Alternative MCP Server exposes 11 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Railway Alternative to Mastra AI via MCP

Follow these steps to integrate the Railway Alternative MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 11 tools from Railway Alternative via MCP

Why Use Mastra AI with the Railway Alternative MCP Server

Mastra AI provides unique advantages when paired with Railway Alternative through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Railway Alternative without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Railway Alternative tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Railway Alternative + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Railway Alternative MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Railway Alternative, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Railway Alternative as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Railway Alternative on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Railway Alternative tools alongside other MCP servers

Railway Alternative MCP Tools for Mastra AI (11)

These 11 tools become available when you connect Railway Alternative to Mastra AI via MCP:

01

delete_variable

Provide the service_id, environment_id and variable name. WARNING: the variable will no longer be available to deployments after deletion. Delete an environment variable from a Railway service

02

get_project

Provide the project ID obtained from list_projects. Get details for a specific Railway project

03

get_viewer

Use this to verify which account the API token belongs to. Get current authenticated Railway user details

04

list_deployments

Each deployment has an ID, status (success, failed, deploying, removed), creation and update timestamps. Use the service_id from list_services. List deployments for a Railway service

05

list_domains

Each domain has an ID, the domain string and SSL status (verified, pending, failed). Use this to audit which services are accessible via custom URLs. List custom domains for a Railway service

06

list_environments

g. production, staging, development) configured within a specific Railway project. Each environment has its own set of services, variables and deployments. Use the project_id from list_projects. List environments in a Railway project

07

list_projects

Each project groups related services, environments and deployments together. Returns project ID, name, description and timestamps. Use this as the starting point for all Railway operations. List all Railway projects

08

list_services

Optionally filter by environment_id to see services in a specific environment only. Each service represents a deployable unit like a web app, API, database or Redis instance. List services in a Railway project

09

list_variables

Each variable has a name and scope (service, environment, project). Variable values are NOT returned for security — only names and scopes. Use service_id and environment_id from their respective list tools. List environment variables for a Railway service

10

list_volumes

Each volume has an ID, name, associated service ID and size in gigabytes. Volumes provide persistent storage that survives deployments and restarts. List persistent volumes in a Railway project

11

set_variable

Requires the service_id, environment_id, variable name and value. The variable will be available to all deployments of that service in the given environment. Set an environment variable for a Railway service

Example Prompts for Railway Alternative in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Railway Alternative immediately.

01

"Show me all my Railway projects and their services."

02

"Set the DATABASE_URL variable for my api-web service in production."

03

"What's the deployment status of my api-web service?"

Troubleshooting Railway Alternative MCP Server with Mastra AI

Common issues when connecting Railway Alternative to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Railway Alternative + Mastra AI FAQ

Common questions about integrating Railway Alternative MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Railway Alternative to Mastra AI

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.