# 10 Things You Can Do With Railway MCP Server

> Railway’s official @railway/mcp-server: verify CLI auth, list/create projects, deploy services and templates, manage environments and env vars, generate domains, and pull logs—documented on docs.railway.com.

**Source:** https://mcpplaygroundonline.com/blog/10-things-you-can-do-with-railway-mcp-server-official  
**Author:** Nikhil Tiwari  
**Published:** 2026-03-27  
**Updated:** 2026-03-29  
**Category:** Development  
**Reading time:** 12 min read

---

TL;DR

The official **Railway MCP Server** (`@railway/mcp-server`) runs locally via `npx` and turns natural language in Cursor, VS Code, or Claude Code into [Railway CLI](https://docs.railway.com/cli) workflows. You must have the CLI installed and logged in. Source: [railwayapp/railway-mcp-server](https://github.com/railwayapp/railway-mcp-server).

Why this matters for developers

**MCP** lets an assistant call a fixed set of tools instead of you memorizing CLI flags. Railway’s server is intentionally **curated**: project and service management, deploys, templates, env vars, domains, and logs—so you can say "deploy this directory" or "add Postgres from a template" and have the client map that to CLI steps. You still approve actions; Railway also notes that **destructive operations are excluded** from the tool surface.

Unlike Vercel’s hosted remote MCP, Railway’s integration is a **stdio MCP process** on your machine that shells out to the same CLI you would use in the terminal. That is why **check-railway-status** exists: if the CLI is missing or logged out, everything else fails fast.

Everything below matches [Railway’s MCP reference](https://docs.railway.com/reference/mcp-server)—tool names, examples, and install snippets.

## Real-world scenarios

-   **Greenfield deploy:** "Create a Railway project from this folder, link it, and deploy"—**create-project-and-link** plus **deploy**.
-   **Database in one shot:** "Deploy Postgres from a template"—**deploy-template** against the [Template Library](https://railway.com/deploy).
-   **Staging copy:** "Create a development environment cloned from production and link it"—**create-environment** / **link-environment** (Railway documents this pattern).
-   **Local .env sync:** "Pull variables into .env"—**list-variables** / **set-variables** plus your client writing files.
-   **Incident tail:** "Show me recent service logs"—**get-logs**.

## 1\. Verify CLI and authentication

**check-railway-status** confirms the Railway CLI is installed and authenticated before other tools run.

If this fails, fix your local setup first—no amount of prompting will deploy until `railway login` (or equivalent) succeeds.

## 2\. List projects

**list-projects** lists every project in your Railway account.

Useful when the assistant needs to disambiguate "which project" before linking services or changing variables—especially on shared accounts.

## 3\. Create a project and link the directory

**create-project-and-link** creates a Railway project and links your **current working directory** to it in one step.

This matches how Railway’s own examples read: scaffold an app locally, then have the assistant wire the folder to a new cloud project without you clicking through the dashboard.

## 4\. List and link services

Multi-service projects are common (API + worker + database). **list-services** shows what exists; **link-service** attaches the correct service to the directory you are working in.

Getting this wrong means deploys or env var changes hit the wrong target—so these tools matter for safe automation.

## 5\. Deploy a service

**deploy** deploys the linked service—your "ship it" action once context (project, service, environment) is correct.

Pair it with clear prompts: "Deploy the linked service after verifying we are on the development environment" reduces surprises.

## 6\. Deploy from the Template Library

**deploy-template** provisions from Railway’s [Template Library](https://railway.com/deploy). Railway’s docs cite examples like Postgres or ClickHouse—ideal when you want data stores without hand-writing Dockerfiles first.

Think of it as "one conversational command to add infrastructure my app can connect to."

## 7\. Create and link environments

**create-environment** adds an environment (for example branching production config); **link-environment** points your local context at the right one.

Railway’s documented example: create `development` cloned from production and set it as linked—classic staging workflow without manual duplication.

## 8\. List and set environment variables

**list-variables** and **set-variables** expose configuration your services read at runtime.

Railway lists example prompts like pulling variables into a `.env` file—handy when onboarding a teammate or syncing secrets into local dev (always review before writing secrets to disk).

## 9\. Generate a Railway domain

**generate-domain** creates a Railway-provided hostname for your service.

Useful right after deploy when you want a shareable URL without configuring DNS yet.

## 10\. Retrieve service logs

**get-logs** fetches service logs for debugging and operations—your first stop when a deploy succeeded but the app crashes at startup.

Combined with template deploys and env var tools, you can go from empty project to running stack to troubleshooting in one thread.

## Why Railway MCP is useful (summary)

-   **Operational speed:** projects, services, environments, and deploys from natural language
-   **Infrastructure onboarding:** templates for databases and common stacks
-   **Config hygiene:** list/set variables and generate domains without dashboard hunting
-   **Observability:** pull logs when something breaks

## Installation (from Railway docs)

### Cursor — `.cursor/mcp.json`

```
{
 "mcpServers": {
 "Railway": {
 "command": "npx",
 "args": ["-y", "@railway/mcp-server"]
 }
 }
}
```

### VS Code — `.vscode/mcp.json`

Railway documents `type: stdio` with the same `npx` command—see the official page for the exact JSON.

### Claude Code

```
claude mcp add Railway npx @railway/mcp-server
```

## Security

Railway states that **destructive operations are intentionally excluded**, but you should still **review** what the LLM proposes, restrict who can run the MCP server on shared machines, and prefer **non-production** environments while learning. Full notes: [Security considerations](https://docs.railway.com/reference/mcp-server).

## FAQ

**Is Railway MCP a hosted URL like mcp.vercel.com?**

**No.** Railway’s documented setup runs `@railway/mcp-server` locally via `npx` and stdio. Your machine must have the Railway CLI installed and logged in; the MCP server orchestrates CLI commands for you.

**Where do I report bugs or request tools?**

Railway links a **Central Station** feedback thread from their MCP reference page for feature requests and discussion.

## Related on MCP Playground

-   [Test MCP Server](/mcp-test-server)
-   [10 Things You Can Do With Vercel MCP Server](/blog/10-things-you-can-do-with-vercel-mcp-official-server)
-   [What Is MCP?](/blog/what-is-model-context-protocol)

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_Canonical page: https://mcpplaygroundonline.com/blog/10-things-you-can-do-with-railway-mcp-server-official — MCP Playground (mcpplaygroundonline.com), the free browser-based tool for testing MCP servers and building AI agents._