# Railway Infrastructure Manager

> Use this tool when you need to manage and deploy Railway.app infrastructure through natural language commands, solving problems like service deployment and environment variable management. It takes in commands and git data as inputs and outputs managed deployments and environment configurations. Use it to orchestrate Railway projects and services seamlessly, especially when automating deployment tasks through AI agents.

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

## Description

Manage your Railway.app infrastructure effortlessly through natural language commands. Deploy services, manage environment variables, and monitor deployments seamlessly. Empower AI agents to orchestrate your Railway projects and services with ease.

## 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/antonioevans/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": "antonioevans-railway-mcp"
    }
  }
}
```

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