# Railway

> Use this tool when you need to integrate AI assistants with Railway.app's platform services, such as managing deployments or monitoring application performance. It provides a bridge between AI systems and Railway's services, enabling automation of DevOps workflows and interaction with the Railway ecosystem. The tool accepts inputs via the Model Context Protocol SDK and outputs integrated services and workflows.

Canonical page: https://skillsregistry.net/skills/jason-tan-railway  
JSON: https://api.skillsregistry.net/v1/skills/jason-tan-railway

## Description

This MCP server implementation provides a bridge to Railway.app, enabling AI assistants to interact with Railway's platform services. Developed by Jason Tan, it utilizes TypeScript and integrates with the Model Context Protocol SDK. The server is designed for use cases requiring Railway.app integration, such as managing deployments, monitoring application performance, or automating DevOps workflows within the Railway ecosystem.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jason-tan-railway)
- **Repository:** <https://github.com/jason-tan-swe/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": "jason-tan-railway"
    }
  }
}
```

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