How do I deploy n8n-MCP on Railway?

You can deploy n8n-MCP on Railway by clicking the "Deploy Now" button on this page. Railway will automatically set up all the necessary services and configurations for you.

What are the system requirements?

Railway handles all the infrastructure requirements. You only need a web browser to deploy and manage your application.

Is this template free to use?

Yes, this template is free to use within your existing Railway account.

Can I customize this template?

Yes, you can fully customize this template. After deployment, you will have full control of what you've deployed in your Railway project.

How do I get support for this template?

You can get support through our community forum: n8n-mcp-1785f5ca, or click "Get template help" for this template for more assistance.

Deploy and Host n8n-MCP on Railway

n8n-MCP is a Model Context Protocol (MCP) server that bridges AI assistants (Claude Desktop, Claude Code, Cursor, Windsurf, Antigravity) with n8n's workflow automation platform. It provides AI models with structured access to 1,084+ n8n nodes, 2,700+ workflow templates, and real-world configuration examples—enabling AI to build, validate, and manage n8n workflows intelligently.

About Hosting n8n-MCP

Railway deployment provides instant cloud hosting with zero server setup. The service runs in HTTP mode behind Railway's infrastructure, offering secure HTTPS endpoints, auto-scaling, and built-in monitoring. Authentication is handled via bearer tokens, and all traffic is encrypted by default. The single-instance design connects to one n8n instance via API credentials configured as environment variables. For multi-tenant usage, deploy separate Railway instances. The server is stateless with a read-only reference database containing node schemas, documentation, and template configurations.

Common Use Cases

AI-Powered Workflow Building — Let Claude, Cursor, or other AI assistants create complete n8n workflows by searching nodes, finding templates, and validating configurations before deployment
Workflow Validation & Debugging — Validate node configurations and entire workflows (including AI Agent workflows) to catch errors before they fail at runtime
Template Discovery & Customization — Search 2,700+ community templates by task, node type, or metadata, then extract and customize workflow JSON for your needs

Dependencies for n8n-MCP Hosting

n8n Instance — A running n8n installation (self-hosted or cloud) with API access enabled
n8n API Key — Generated from n8n Settings → API for workflow management capabilities

Deployment Dependencies

n8n-MCP GitHub Repository — Source code and documentation
Railway Deployment Guide — Detailed setup instructions
Claude Code Setup — IDE integration guide
Antigravity Setup — Google Antigravity integration

Implementation Details

After deployment, connect your AI IDE using the mcp-remote bridge:

{
  "mcpServers": {
    "n8n-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://YOUR-SERVICE.railway.app/mcp",
        "--header",
        "Authorization:Bearer YOUR_AUTH_TOKEN"
      ]
    }
  }
}

Replace YOUR-SERVICE.railway.app with your Railway URL and YOUR_AUTH_TOKEN with your configured auth token.

Credits

n8n-MCP was created by czlonkowski. This Railway template is based on the official n8n-mcp repository, licensed under MIT.

Why Deploy n8n-MCP on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying n8n-MCP on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.