# Railway MCP Server

> Use this tool when you need to manage Railway infrastructure efficiently, as it solves problems related to project, service, and deployment management by providing a comprehensive interface to the Railway GraphQL API. It accepts inputs via HTTP requests and outputs data in a GraphQL format, enabling seamless integration with cloud-based clients. Ideal for use cases requiring centralized management of Railway projects and services, this tool streamlines infrastructure management workflows.

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

## Description

Enables comprehensive management of Railway infrastructure, including projects, services, variables, and deployments, directly through the Railway GraphQL API. It is designed to work as a remote service over HTTP, allowing seamless integration with cloud-based MCP clients like claude.ai.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hqna5u8rwg)
- **Repository:** <https://github.com/Travis-Gilbert/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": "travis-gilbert-railway-mcp"
    }
  }
}
```

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