# Railway MCP Server

> Use this tool when you need to manage and deploy infrastructure on Railway.app using natural language commands, streamlining your development workflow by automating service deployments, variable management, and deployment monitoring. It solves problems related to manual infrastructure management and provides an AI-driven interface for git-based deployments. Ideal for use cases requiring efficient and automated development workflows.

Canonical page: https://skillsregistry.net/skills/mh8974-railway-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mh8974-railway-mcp

## Description

Manage your Railway.app infrastructure effortlessly. Deploy services, manage variables, and monitor deployments using natural language commands. Streamline your development workflow with AI-driven interactions.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-06-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/mh8974/railway-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mh8974-railway-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mh8974-railway-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mh8974-railway-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt