How do I create a Railway Personal Access Token?

Log in to the [**Railway Dashboard**](https://railway.com/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 tools.

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.

Railway Alternative MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes

Name: Railway Alternative
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Railway Alternative through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Railway Alternative Assistant",
            instructions=(
                "You help users interact with Railway Alternative. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Railway Alternative"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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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.

The OpenAI Agents SDK auto-discovers all 11 tools from Railway Alternative through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Railway Alternative, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Railway Alternative MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 11 tools from Railway Alternative

Why Use OpenAI Agents SDK with the Railway Alternative MCP Server

OpenAI Agents SDK provides unique advantages when paired with Railway Alternative through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Railway Alternative + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Railway Alternative MCP Server delivers measurable value.

Automated workflows: build agents that query Railway Alternative, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Railway Alternative, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Railway Alternative tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Railway Alternative to resolve tickets, look up records, and update statuses without human intervention

Railway Alternative MCP Tools for OpenAI Agents SDK (11)

These 11 tools become available when you connect Railway Alternative to OpenAI Agents SDK via MCP:

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

get_project

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

get_viewer

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

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

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

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

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

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

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

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

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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Railway Alternative immediately.

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

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

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

Troubleshooting Railway Alternative MCP Server with OpenAI Agents SDK

Common issues when connecting Railway Alternative to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Railway Alternative + OpenAI Agents SDK FAQ

Common questions about integrating Railway Alternative MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.