mcp-dice

Python
MIT
  • Apple
A
security – no known vulnerabilities (report Issue)
A
license - permissive license (MIT)
A
quality - confirmed to work

A MCP server enabling LLMs to roll dice

  1. Tools
  2. Prompts
  3. Resources
  4. Server Configuration
  5. README.md

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription

No tools

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

README.md

mcp-dice: A MCP Server for Rolling Dice

screenshot

A Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to roll dice. It accepts standard dice notation (e.g., 1d20) and returns both individual rolls and their sum.

<a href="https://glama.ai/mcp/servers/vzu553gv26"><img width="380" height="200" src="https://glama.ai/mcp/servers/vzu553gv26/badge" /></a>

Features

  • Supports standard dice notation (e.g., 1d20, 3d6, 2d8+1)
  • Returns both individual rolls and the total sum
  • Easy integration with Claude Desktop
  • Compatible with MCP Inspector for debugging

Installation

Make uv available: https://docs.astral.sh/uv/getting-started/installation/

Usage

Basic Command Line Usage

# Using uvx uvx mcp-dice

Input Format

The server accepts a JSON object with a notation field:

{ "notation": "2d6+3" }

Example responses:

{ "rolls": [ 3, 1 ], "sum": 4, "modifier": 3, "total": 7, "notation": "2d6+3", "timestamp": "2024-12-03T16:36:38.926452" }

Claude Desktop Configuration

Location

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json

Examples

<details> <summary>macOS Configuration</summary>
{ "mcpServers": { "dice": { "command": "uvx", "args": ["mcp-dice"] } } }
</details> <details> <summary>WSL Configuration</summary>
{ "mcpServers": { "dice": { "command": "wsl", "args": [ "-e", "zsh", "-lc", "uvx mcp-dice" ] } } }

Note: Replace zsh with your login shell.

</details>

Development and Debugging

Installing Development Dependencies

# Clone the repository git clone https://github.com/yourusername/mcp-dice cd mcp-dice # Install development dependencies uv pip install -e ".[dev]"

Running Tests

uv run pytest

Using MCP Inspector

The MCP Inspector is a useful tool for debugging your MCP server. Install and run it using npm:

npx @modelcontextprotocol/inspector uvx mcp-dice

Claude Desktop Configuration for Development

<details> <summary>macOS configuration (local dev)</summary>
{ "mcpServers": { "dice": { "command": "uv", "args": [ "run", "--directory", "path/to/mcp-dice-repo", "mcp-dice" ] } } }

Note: Replace path/to/mcp-dice-repo with the path to the repository on your filesystem.

</details> <details> <summary>Windows (WSL) configuration (local dev)</summary>
{ "mcpServers": { "dice": { "command": "wsl", "args": [ "-e", "zsh", "-lc", "uv run --directory path/to/mcp-dice-repo mcp-dice" ] } } }

Note: Replace zsh with your login shell. Also, replace path/to/mcp-dice-repo with the path to the repository on your WSL filesystem.

</details>

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues with dependencies of the server.
  • Extract server characteristics such as tools, resources, prompts, and required parameters.

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