Railway MCP
The Railway MCP Server enables natural language interaction with your Railway projects and infrastructure. Ask your IDE or AI assistant to create projects, deploy templates, manage environments, pull variables, redeploy services, and more.
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Overview
The Railway MCP Server implements the <a href="https://modelcontextprotocol.org" target="_blank">Model Context Protocol (MCP)</a>. It lets AI assistants create projects, deploy templates, manage environments, pull variables, and redeploy services. The server runs at mcp.railway.com. Connect to it in one of two ways: Through the CLI (default). The railway mcp command connects your editor to mcp.railway.com through the Railway CLI, reusing your railway login credentials so no second authentication is required. With OAuth. Editors that support OAuth connect directly to https://mcp.railway.com without the CLI.
Installation
https://mcp.railway.com
Configuration
Configuration example is not available yet.
Capabilities
- Create and deploy projects
Ask to create a new project or deploy a template like Postgres, with `create-project` and `deploy_template`.
- Manage environment variables
Pull variables to a `.env` file or set them per environment using `list_variables` and `set_variables`.
- Redeploy or debug services
Trigger a redeploy with `redeploy`, or use `railway-agent` to diagnose why a service is crashing.
- Control feature flags
List, view, or toggle flags like `checkout-v2` via `list-feature-flags` and `set-feature-flag`.
- Handle domains and networking
Generate a domain with `generate_domain`, or manage TCP proxies and private networks.
- Scale and configure services
Update service config or scale instances using `update_service` and `scale_service`.
Tags
- cloud-infrastructure
- deployment
- devops
- development
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