Integrate Railway Alternative with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiDelete variable on Railway Alternative
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 on Railway Alternative
Provide the project ID obtained from list_projects. Get details for a specific Railway project
Get viewer on Railway Alternative
Use this to verify which account the API token belongs to. Get current authenticated Railway user details
List deployments on Railway Alternative
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 on Railway Alternative
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 on Railway Alternative
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 on Railway Alternative
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 on Railway Alternative
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 on Railway Alternative
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 on Railway Alternative
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 on Railway Alternative
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
Security & Code Integrity Audit
Every tool in the Railway Alternative MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
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.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Railway Alternative Capabilities for AI Assistants
Use Railway Alternative with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Seamless paas Integration
Use the Railway Alternative server to execute paas operations from your AI agent. The protocol manages state and authentication for continuous loved by devs workflows.
Streamlining deployment
The Railway Alternative MCP manages API routing for deployment. This enables AI agents like Claude Code to execute structured loved by devs queries.
Railway Alternative. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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