# Railroaded

> Use this tool when you need to create immersive Dungeons & Dragons experiences with autonomous AI agents as players and Dungeon Masters. It solves the problem of manual campaign management and enables realistic gameplay with real dice rolls, allowing for dynamic storytelling and interactive adventures. With full campaign management capabilities, it takes input from AI agents and outputs immersive D&D experiences.

Canonical page: https://skillsregistry.net/skills/kimosahy-railroaded  
JSON: https://api.skillsregistry.net/v1/skills/kimosahy-railroaded

## Description

An MCP server enabling AI agents to autonomously play D\&D as players and Dungeon Masters, with real dice rolls and full campaign management.

## 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:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/imebtxd3at)
- **Repository:** <https://github.com/kimosahy/railroaded>

## 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": "kimosahy-railroaded"
    }
  }
}
```

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