How do I create a Railway API token?

Log into your main Railway dashboard. Navigate to your Account Settings and head to the 'Tokens' section. Generate a standard Personal Access API Token, copy it definitively, and paste it into the secure configuration field provided by the MCP integration here.

Can I target specific environments (like Staging vs Production)?

Yes. Each API operation supports passing explicit `project_id` and `environment_id` variables, ensuring the AI performs operations strictly inside your requested boundaries.

Is restarting a service destructive?

It behaves identically to clicking 'Restart' on the Railway dashboard. It forces an immediate container recycle for the specific service based on the last successful build.

Railway MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Railway
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Railway as an MCP tool provider through 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_agent",
    instruction=(
        "You help users interact with Railway "
        "using 10 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 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.

Google ADK natively supports Railway as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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 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 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 to Google ADK via MCP

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

Why Use Google ADK with the Railway MCP Server

Google ADK provides unique advantages when paired with Railway 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

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 tools with BigQuery, Vertex AI, and Cloud Functions

Railway + Google ADK Use Cases

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

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

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

Automated compliance checks: schedule ADK agents to query Railway 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

Railway MCP Tools for Google ADK (10)

These 10 tools become available when you connect Railway to Google ADK via MCP:

create_project

Creates a new Railway project

delete_project

This action is irreversible. Deletes a Railway project

get_project

Retrieves details for a specific Railway project

get_service_instances

Retrieves runtime configuration for a service

list_deployments

Lists deployments for a specific project, environment, and service

list_projects

Lists all Railway projects accessible by the token

list_variables

Lists environment variables for a service

restart_service

Restarts a running service instance

trigger_deploy

Triggers a new deployment for a service

whoami

Retrieves the authenticated Railway user profile

Example Prompts for Railway in Google ADK

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

"List all active projects on my Railway account."

"Restart the deployment for the ECommerce Backend service."

"Has the latest Production build finished yet?"

Troubleshooting Railway MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Railway + Google ADK FAQ

Common questions about integrating Railway 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.