# mcp-dice

> Use this tool when you need to generate random outcomes or simulate chance events, such as role-playing games or statistical analysis, by rolling virtual dice. The mcp-dice server takes input in the form of dice roll requests and outputs the results, enabling Large Language Models (LLMs) to interact with the tool. It is particularly useful in contexts where randomness and probability need to be introduced, such as game development or probabilistic modeling.

Canonical page: https://skillsregistry.net/skills/yamaton-mcp-dice  
JSON: https://api.skillsregistry.net/v1/skills/yamaton-mcp-dice

## Description

A MCP server enabling LLMs to roll dice

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vzu553gv26)
- **Repository:** <https://github.com/yamaton/mcp-dice>

## 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": "yamaton-mcp-dice"
    }
  }
}
```

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