# Railway Infrastructure Manager

> Use this tool when you need to streamline Railway.app infrastructure management through natural language commands, solving deployment and monitoring challenges. It takes git-based inputs and outputs deployment status, environment variables, and service updates, making it ideal for integrating Railway operations into AI workflows. Use it to enhance productivity and automate infrastructure tasks seamlessly.

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

## Description

Manage your Railway.app infrastructure effortlessly through natural language commands. Deploy services, manage environment variables, and monitor deployments seamlessly. Enhance your productivity by integrating Railway operations directly into your AI workflows.

## 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:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/Kruglyak/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": "kruglyak-railway-mcp"
    }
  }
}
```

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