Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Calculator calculate 55 + 99"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
一个简单的计算器 MCP (Model Context Protocol) 服务器，为 Claude 提供计算功能。
工具 | 描述 | 参数 |
| 计算两个数字的和 |
|
Related MCP server: Arithmuse
# 克隆仓库
git clone https://github.com/yourusername/mcp-calculatorA.git
cd mcp-calculatorA
# 创建虚拟环境
python -m venv venv
source venv/bin/activate # Linux/macOS
# venv\Scripts\activate # Windows
# 安装依赖
pip install -e .pip install mcp-calculatorA编辑 ~/.claude/claude_mcp_settings.json:
{
"mcpServers": {
"calculatorA": {
"command": "/path/to/venv/bin/python",
"args": ["-m", "mcp_calculatora"]
}
}
}编辑配置文件:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"calculatorA": {
"command": "mcp-calculatorA"
}
}
}配置完成后，Claude 可以直接调用计算器功能：
用户: 计算 55 + 99
Claude: [调用 add 工具] 55 + 99 = 154mcp-calculatorA/
├── mcp_calculatora/
│ ├── __init__.py
│ └── server.py # MCP 服务器实现
├── pyproject.toml # 项目配置
└── README.md# 运行服务器（测试）
python -m mcp_calculatoraMIT License
计算两个数字的和(加法)
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | 第一个数字 | |
| b | Yes | 第二个数字 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. While '计算两个数字的和' implies a read-only calculation operation, the description doesn't explicitly state whether this is a safe operation, what happens with invalid inputs, or any performance characteristics. For a tool with zero annotation coverage, this is insufficient behavioral context.
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 extremely concise - a single sentence that directly states the tool's purpose without any unnecessary words. It's appropriately sized for this simple mathematical operation and gets straight to the point with zero waste.
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?
For a simple addition tool with 2 parameters, 100% schema coverage, and no output schema, the description is minimally adequate. It tells what the tool does but lacks information about return values, error handling, or edge cases. Given the tool's simplicity, the description is complete enough to understand the basic operation but could provide more context about the result format.
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%, with both parameters 'a' and 'b' clearly documented as '第一个数字' and '第二个数字' (first number, second number). The description adds no additional parameter information beyond what's already in the schema. According to the scoring guidelines, when schema coverage is high (>80%), the baseline is 3 even with no param info in the 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?
The description clearly states the tool's purpose as '计算两个数字的和(加法)' which translates to 'calculate the sum of two numbers (addition)'. This is a specific verb+resource combination that tells exactly what the tool does. However, since there are no sibling tools, the description doesn't need to distinguish from alternatives, so it doesn't reach the highest score of 5.
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 provides no guidance on when to use this tool versus alternatives. It simply states what the tool does without any context about appropriate use cases, prerequisites, or limitations. This is a basic description that lacks usage instructions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
v1.0.0addWith only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is singular and clearly defined.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against for patterns or conventions.
A single tool for a calculator server is too few, as it lacks basic operations like subtraction, multiplication, and division, making it severely under-scoped for the domain.
The tool surface is severely incomplete for a calculator, missing essential arithmetic operations (e.g., subtract, multiply, divide) and other common functions, rendering it inadequate for typical calculator tasks.
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