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 Google ADK 11 tools — connect in under 2 minutes

Name: Railway Alternative
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 11 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Railway Alternative as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="railway_alternative_agent",
    instruction=(
        "You help users interact with Railway Alternative "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports Railway Alternative as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Railway Alternative MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 11 tools from Railway Alternative via MCP

Why Use Google ADK with the Railway Alternative MCP Server

Google ADK provides unique advantages when paired with Railway Alternative through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Railway Alternative

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Railway Alternative tools with BigQuery, Vertex AI, and Cloud Functions

Railway Alternative + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Railway Alternative MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Railway Alternative and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Railway Alternative tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Railway Alternative regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Railway Alternative

Railway Alternative MCP Tools for Google ADK (11)

These 11 tools become available when you connect Railway Alternative to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Railway Alternative + Google ADK FAQ

Common questions about integrating Railway Alternative MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.