Arithmetic MCP Server
四則演算 MCP サーバー
このMCPサーバーは、基本的な四則演算(足し算、引き算、掛け算、割り算)を実行するためのツールを提供します。
機能
このサーバーは以下の四則演算ツールを提供します:
add - 2つの数値を足し算します
subtract - 2つの数値を引き算します
multiply - 2つの数値を掛け算します
divide - 2つの数値を割り算します(ゼロ除算の場合はエラーを返します)
Related MCP server: FastMCP Dummy Server
インストール方法
このリポジトリをクローンまたはダウンロードします
依存パッケージをインストールします:
npm installTypeScriptをコンパイルします:
npm run build
Clineでの設定方法
Clineでこのサーバーを使用するには、Claude Desktop Appの設定ファイルを編集する必要があります:
以下のパスに設定ファイルを作成または編集します:
~/Library/Application Support/Claude/claude_desktop_config.json以下の内容を追加します(既存のmcpServersオブジェクトがある場合は、その中に追加します):
{ "mcpServers": { "arithmetic": { "command": "node", "args": ["/Users/y_nakasaka/Documents/Cline/MCP/arithmetic-server/src/index.js"], "disabled": false, "autoApprove": [] } } }Claude Desktop Appを再起動します
使用例
Clineで以下のようなプロンプトを使用することで、四則演算ツールを呼び出すことができます:
「5と3を足し算してください」
「10から7を引いてください」
「6と8を掛け算してください」
「20を4で割ってください」
技術的な詳細
このサーバーは以下の技術を使用しています:
TypeScript
Model Context Protocol (MCP) SDK
Zod(バリデーション用)
Available Tools
4 toolsaddD
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | ||
| b | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
divideD
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | ||
| b | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
multiplyD
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | ||
| b | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
subtractD
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | ||
| b | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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.
4 tool updates
- First observed
add - First observed
divide - First observed
multiply - First observed
subtract
TDQS
Scored across 4 tools
Each tool has a clearly distinct mathematical operation: addition, division, multiplication, and subtraction. There is no overlap in purpose, and an agent can easily distinguish between them based on their names alone.
All tool names follow a consistent pattern of simple, lowercase verbs that directly describe the arithmetic operation. There are no deviations in style or convention across the set.
With 4 tools covering the basic arithmetic operations, the count is well-scoped and appropriate for a server focused on simple calculations. Each tool earns its place without redundancy or gaps in this limited domain.
For a basic arithmetic server, the tool set is complete, covering all fundamental operations: addition, subtraction, multiplication, and division. There are no obvious gaps, and agents can perform essential calculations without dead ends.
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