用于计算数学表达式的MCP
What is pwh pwh cal mcp
Cal Server
*
项目简介
Cal Server 是一个基于 FastMCP 框架构建的简单数学表达式计算服务，使用 Bun 运行时环境。它利用 expr-eval 库解析和计算用户输入的数学表达式，并通过标准输入输出（stdio）与外界交互。该项目旨在提供一个轻量、高效的计算工具，支持基本数学运算和内置常量。
功能
- 表达式计算：支持用户输入数学表达式并返回计算结果。
- 内置常量：
E：Bun 环境中的Math.E。PI：Bun 环境中的Math.PI。true：逻辑真值。false：逻辑假值。
- 工具名称：
cal。 - 参数：接受一个字符串类型的数学表达式（
exp）。
依赖
fastmcp：用于构建 MCP 服务。expr-eval：用于解析和计算数学表达式。zod：用于参数验证。
前置条件
- 确保已安装 Bun 运行时（推荐最新版本）。
安装
Installing via Smithery
To install cal-mcp for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @pwh-pwh/cal-mcp --client claude
mcp客户端配置
"cal-mcp": {
"name": "计算",
"description": "",
"isActive": true,
"command": "bunx",
"args": [
"cal-mcp"
]
}
Manual Installation
- 克隆项目仓库：
git clone <仓库地址> - 进入项目目录并安装依赖：
bun install
使用方法
-
启动服务：
bun run index.ts服务将通过标准输入输出（stdio）运行。
-
输入数学表达式：
- 示例输入：
2 + 3 * PI - 输出：计算结果（字符串形式）。
- 示例输入：
-
支持的表达式示例：
- 基本运算：
2 + 2→4 - 使用常量：
PI * 2→6.283185307179586 - 复杂表达式：
E ^ 2 + 1→8.38905609893065
- 基本运算：
注意事项
- 输入的表达式必须是有效的数学表达式，否则可能抛出错误。
- 服务当前仅支持通过
stdio交互。 - 项目使用 Bun 运行时，确保命令与 Bun 兼容。
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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