Railway Alternative MCP Server
Manage cloud deployments via Railway — list projects, inspect services, track deployments and manage variables and volumes from any AI agent.
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What is the Railway MCP Server?
The Railway MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Railway via 11 tools. Manage cloud deployments via Railway — list projects, inspect services, track deployments and manage variables and volumes from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (11)
Tools for your AI Agents to operate Railway
Ask your AI agent "Show me all my Railway projects and their services." and get the answer without opening a single dashboard. With 11 tools connected to real Railway data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
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Railway Alternative MCP Server capabilities
11 toolsProvide 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
Provide the project ID obtained from list_projects. Get details for a specific Railway project
Use this to verify which account the API token belongs to. Get current authenticated Railway user details
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
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
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
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
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
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
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
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
What the Railway Alternative MCP Server unlocks
Connect your Railway account to any AI agent and take full control of your cloud deployments through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your Railway Personal Access Token
3. Start managing your cloud deployments from Claude, Cursor, or any MCP-compatible client
Stop clicking through the Railway dashboard to check deployment status or manage environment variables. Your AI acts as a dedicated cloud operations engineer.
Who is this for?
- Developers — inspect services, track deployments and manage environment variables without leaving your IDE
- DevOps Engineers — audit project configurations, review deployment statuses and manage persistent volumes
- Team Leads — monitor project health, environment segregation and variable security across services
Frequently asked questions about the Railway Alternative MCP Server
How do I create a Railway Personal Access Token?
Log in to the Railway 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.
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Give your AI agents the power of Railway MCP Server
Production-grade Railway Alternative MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






