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Vinkius

Railway MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Railway through 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": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Railway Agent",
    instructions:
      "You help users interact with Railway " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Railway
Fully ManagedVinkius Servers
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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 MCP Server

Connect your Railway cloud infrastructure to an AI agent, streamlining operations directly from your chat terminal. By configuring this integration, the AI gains programmatic management over your active deployments and environments.

Mastra's agent abstraction provides a clean separation between LLM logic and Railway tool infrastructure. Connect 10 tools through 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 Management — Create new projects or query existing ones to assess active cloud architectures without opening the web dashboard.
  • Deployment Oversight — Review build statuses, trigger new deployments, and read rollout logs to ensure stable releases.
  • Service Configuration — List, update, or restart operational services mapped within your Railway projects securely.
  • Environment Variables — Manage sensitive configuration keys by securely pulling, updating, or syncing environment values across instances.

The Railway MCP Server exposes 10 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 to Mastra AI via MCP

Follow these steps to integrate the Railway 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 10 tools from Railway via MCP

Why Use Mastra AI with the Railway MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Railway 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 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 + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Railway 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 on a cron and store results in your database automatically

04

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

Railway MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Railway to Mastra AI via MCP:

01

create_project

Creates a new Railway project

02

delete_project

This action is irreversible. Deletes a Railway project

03

get_project

Retrieves details for a specific Railway project

04

get_service_instances

Retrieves runtime configuration for a service

05

list_deployments

Lists deployments for a specific project, environment, and service

06

list_projects

Lists all Railway projects accessible by the token

07

list_variables

Lists environment variables for a service

08

restart_service

Restarts a running service instance

09

trigger_deploy

Triggers a new deployment for a service

10

whoami

Retrieves the authenticated Railway user profile

Example Prompts for Railway in Mastra AI

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

01

"List all active projects on my Railway account."

02

"Restart the deployment for the ECommerce Backend service."

03

"Has the latest Production build finished yet?"

Troubleshooting Railway MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Railway + Mastra AI FAQ

Common questions about integrating Railway 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 to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.