Railway Alternative MCP Server for Windsurf 11 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Railway Alternative through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
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Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Railway Alternative and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"railway-alternative": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Windsurf's Cascade agent chains multiple Railway Alternative tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 11 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Railway Alternative MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Railway Alternative
Open Cascade and ask: "Using Railway Alternative, help me..." — 11 tools available
Why Use Windsurf with the Railway Alternative MCP Server
Windsurf provides unique advantages when paired with Railway Alternative through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 11 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Railway Alternative + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Railway Alternative MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Railway Alternative and generate models, types, or handlers based on real API responses
Live debugging: query Railway Alternative tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Railway Alternative and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Railway Alternative data with Cascade's code generation to scaffold entire features in minutes
Railway Alternative MCP Tools for Windsurf (11)
These 11 tools become available when you connect Railway Alternative to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Railway Alternative to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Railway Alternative + Windsurf FAQ
Common questions about integrating Railway Alternative MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Railway Alternative with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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.
Connect Railway Alternative to Windsurf
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.