# Railway

> Use this tool when you need to manage Railway projects through natural language interactions, automating tasks like project creation, service deployment, and environment management. It solves problems of manual CLI usage, providing a conversational workflow for deploying applications and monitoring deployments. With CLI integration and direct API access, it takes in natural language inputs and outputs managed Railway projects and infrastructure.

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

## Description

Railway's official MCP server that provides AI assistants with comprehensive Railway platform management capabilities through both CLI integration and direct API access. The implementation wraps Railway CLI commands for core operations like project creation, service deployment, environment management, and log retrieval, while also integrating with Railway's GraphQL API for advanced features like template deployment from Railway's template library. Built with TypeScript and designed as an experimental tool, it enables conversational workflows for deploying applications, managing infrastructure, setting environment variables, and monitoring deployments without manual CLI usage, making it valuable for developers who want to manage their Railway projects through natural language interactions while maintaining the full power of Railway's deployment platform.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/railway)
- **Repository:** <https://github.com/railwayapp/railway-mcp-server>

## 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": "railway"
    }
  }
}
```

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