mcp-dice
mcp-dice:用于掷骰子的 MCP 服务器
一个模型上下文协议 (MCP) 服务器,支持大型语言模型 (LLM) 掷骰子。它接受标准骰子符号(例如1d20 ),并返回每次掷骰结果及其和。
特征
支持标准骰子符号(例如
1d20、3d6、2d8+1)返回单个掷骰结果和总和
轻松与 Claude Desktop 集成
兼容 MCP Inspector 进行调试
Related MCP server: Globalping
安装
通过 Smithery 安装
要通过Smithery自动安装 Dice Roller for Claude Desktop:
npx @smithery/cli install mcp-dice --client claude使uv可用: https://docs.astral.sh/uv/getting-started/installation/
用法
基本命令行用法
# Using uvx
uvx mcp-dice输入格式
服务器接受带有notation字段的 JSON 对象:
{
"notation": "2d6+3"
}示例响应:
{
"rolls": [
3,
1
],
"sum": 4,
"modifier": 3,
"total": 7,
"notation": "2d6+3",
"timestamp": "2024-12-03T16:36:38.926452"
}Claude桌面配置
地点
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%/Claude/claude_desktop_config.json
示例
{
"mcpServers": {
"dice": {
"command": "uvx",
"args": ["mcp-dice"]
}
}
}{
"mcpServers": {
"dice": {
"command": "wsl",
"args": [
"-e",
"zsh",
"-lc",
"uvx mcp-dice"
]
}
}
}注意:用您的登录 shell 替换zsh 。
开发与调试
安装开发依赖项
# Clone the repository
git clone https://github.com/yourusername/mcp-dice
cd mcp-dice
# Install development dependencies
uv pip install -e ".[dev]"运行测试
uv run pytest使用 MCP 检查器
MCP Inspector是一款用于调试 MCP 服务器的实用工具。使用 npm 安装并运行它:
npx @modelcontextprotocol/inspector uvx mcp-diceClaude 桌面开发配置
{
"mcpServers": {
"dice": {
"command": "uv",
"args": [
"run",
"--directory",
"path/to/mcp-dice-repo",
"mcp-dice"
]
}
}
}注意:将path/to/mcp-dice-repo替换为文件系统上存储库的路径。
{
"mcpServers": {
"dice": {
"command": "wsl",
"args": [
"-e",
"zsh",
"-lc",
"uv run --directory path/to/mcp-dice-repo mcp-dice"
]
}
}
}注意:请将zsh替换为您的登录 shell。另外,请将path/to/mcp-dice-repo替换为您的 WSL 文件系统上的存储库路径。
Available Tools
1 toolroll_diceA
Roll dice using standard notation (e.g., '2d6+3', '1d20-2')
| Name | Required | Description | Default |
|---|---|---|---|
| notation | Yes | Dice notation (e.g., '2d6+3', '1d20-2') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It describes the action but lacks behavioral details such as whether this is a deterministic or random process, any rate limits, or what the output format might be. The description is minimal and does not compensate for the absence of annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the purpose and provides clear examples. There is no wasted information, making it appropriately concise and well-structured for its purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (one parameter, no output schema, no annotations), the description is adequate but has gaps. It explains the input but lacks details on output or behavioral context, making it minimally viable but not fully complete for an agent to understand all aspects without additional inference.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, so the schema already documents the single parameter 'notation' with a description and pattern. The description adds minimal value by restating the parameter concept with examples, aligning with the baseline score when schema coverage is high.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Roll dice') and resource ('using standard notation'), with examples provided. It precisely defines what the tool does without being tautological, and since there are no sibling tools, no differentiation is needed.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage by providing examples of dice notation, but it does not explicitly state when to use this tool versus alternatives. Since there are no sibling tools, no explicit alternatives are mentioned, leaving usage context somewhat implied rather than fully guided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
roll_dice
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'roll_dice' has a clearly distinct purpose that cannot be confused with any other tool in this set.
The naming follows a consistent verb_noun pattern with 'roll_dice', and since there is only one tool, there is no inconsistency to evaluate. The naming is clear and predictable for this single-tool server.
A single tool is generally too few for most server purposes, as it limits functionality and can feel thin. For a dice-rolling server, while the core operation is covered, additional tools like rolling multiple dice types or retrieving roll history could enhance completeness, making the count borderline inappropriate.
The tool covers the basic dice-rolling functionality well, but there are notable gaps. For example, there are no tools for listing available dice types, saving roll results, or performing statistical analysis on rolls, which could be expected in a more comprehensive dice-rolling domain.
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