MCP Tools Server

MCP Tools Server

An MCP server providing tools for weather, calculations, currency conversion, timezone queries, and unit conversions.

Category
访问服务器

README

MCP Tools Server

A Model Context Protocol (MCP) server providing 5 essential tools for weather information, calculations, currency conversion, timezone queries, and unit conversions.

Built with Python and FastMCP for AI Engineering applications.

🚀 Features

This MCP server provides the following tools:

1. Weather Tool

Retrieve current weather conditions for any city or location worldwide.

  • Supports city names, ZIP codes, and "City,Country" format
  • Returns temperature, humidity, wind speed, and weather description
  • Uses OpenWeatherMap API

2. Calculator Tool

Perform basic arithmetic operations with proper error handling.

  • Operations: addition, subtraction, multiplication, division
  • Handles division by zero gracefully
  • Returns formatted expressions

3. Currency Converter Tool

Convert amounts between different currencies using live exchange rates.

  • Supports 150+ currencies
  • Real-time exchange rates
  • Uses ExchangeRate-API

4. Time Zone Tool

Get current time and timezone information for major cities.

  • Supports 20+ major cities worldwide
  • Returns current time, UTC offset, day of week
  • Uses WorldTimeAPI (no API key required)

5. Unit Converter Tool

Convert between common units of measurement.

  • Length: meters, kilometers, miles, feet, inches, yards, centimeters, millimeters
  • Weight: kilograms, grams, pounds, ounces, tons
  • Temperature: Celsius, Fahrenheit, Kelvin

📋 Prerequisites

🛠️ Installation

Step 1: Clone the Repository

git clone https://github.com/yourusername/mcp-tools-server.git
cd mcp-tools-server

Step 2: Create Virtual Environment

# Create virtual environment
python -m venv venv

# Activate virtual environment
# On Windows PowerShell:
.\venv\Scripts\Activate.ps1

# On Windows Command Prompt:
.\venv\Scripts\activate.bat

# On macOS/Linux:
source venv/bin/activate

Step 3: Install Dependencies

pip install -r requirements.txt

Step 4: Configure API Keys

  1. Copy the .env.example file to .env:

    cp .env.example .env
    
  2. Edit .env and add your API keys:

    OPENWEATHER_API_KEY=your_actual_api_key_here
    EXCHANGERATE_API_KEY=your_actual_api_key_here
    

🚀 Usage

Running the Server

python server.py

The server will start and be available for MCP client connections.

Connecting with Claude Desktop

  1. Open your Claude Desktop configuration file:

    • Windows: %APPDATA%\Claude\claude_desktop_config.json
    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  2. Add the server configuration:

    {
      "mcpServers": {
        "tools-server": {
          "command": "python",
          "args": ["C:/path/to/your/mcp-tools-server/server.py"],
          "env": {}
        }
      }
    }
    
  3. Restart Claude Desktop

Using MCP Inspector

# Install MCP Inspector globally
npm install -g @modelcontextprotocol/inspector

# Run inspector with your server
mcp-inspector python server.py

📖 Tool Documentation

Weather Tool

Function: get_weather(location: str)

Description: Retrieves current weather conditions for a specified location.

Parameters:

  • location (string): City name, ZIP code, or "City,Country" format

Example Request:

{
  "tool": "get_weather",
  "arguments": {
    "location": "London"
  }
}

Example Response:

{
  "location": "London",
  "country": "GB",
  "temperature": "12°C",
  "feels_like": "10°C",
  "description": "Scattered Clouds",
  "humidity": "76%",
  "wind_speed": "4.5 m/s",
  "status": "success"
}

Calculator Tool

Function: calculate(operation: str, num1: float, num2: float)

Description: Performs basic arithmetic operations.

Parameters:

  • operation (string): One of "add", "subtract", "multiply", "divide"
  • num1 (float): First number
  • num2 (float): Second number

Example Request:

{
  "tool": "calculate",
  "arguments": {
    "operation": "multiply",
    "num1": 15,
    "num2": 4
  }
}

Example Response:

{
  "operation": "multiply",
  "num1": 15,
  "num2": 4,
  "result": 60,
  "expression": "15 multiply 4 = 60",
  "status": "success"
}

Currency Converter Tool

Function: convert_currency(amount: float, from_currency: str, to_currency: str)

Description: Converts an amount from one currency to another using live exchange rates.

Parameters:

  • amount (float): Amount to convert
  • from_currency (string): Source currency code (e.g., "USD", "EUR")
  • to_currency (string): Target currency code

Example Request:

{
  "tool": "convert_currency",
  "arguments": {
    "amount": 100,
    "from_currency": "USD",
    "to_currency": "EUR"
  }
}

Example Response:

{
  "amount": 100,
  "from_currency": "USD",
  "to_currency": "EUR",
  "conversion_rate": 0.92,
  "converted_amount": 92.0,
  "formatted": "100 USD = 92.00 EUR",
  "last_updated": "Wed, 08 Jan 2025 00:00:01 +0000",
  "status": "success"
}

Time Zone Tool

Function: get_timezone_info(city: str)

Description: Gets current time and timezone information for a given city.

Parameters:

  • city (string): City name (e.g., "Tokyo", "New York")

Supported Cities: London, Paris, New York, Los Angeles, Tokyo, Sydney, Dubai, Singapore, Mumbai, Toronto, Berlin, Moscow, Beijing, Hong Kong, Chicago, Mexico City, Sao Paulo, Cairo, Lagos, Johannesburg

Example Request:

{
  "tool": "get_timezone_info",
  "arguments": {
    "city": "Tokyo"
  }
}

Example Response:

{
  "city": "Tokyo",
  "timezone": "Asia/Tokyo",
  "current_time": "2026-01-10 15:30:45",
  "utc_offset": "+09:00",
  "day_of_week": "Saturday",
  "day_of_year": 10,
  "week_number": 2,
  "status": "success"
}

Unit Converter Tool

Function: convert_units(value: float, from_unit: str, to_unit: str, category: str)

Description: Converts between common units of measurement.

Parameters:

  • value (float): Numeric value to convert
  • from_unit (string): Source unit
  • to_unit (string): Target unit
  • category (string): One of "length", "weight", "temperature"

Example Request (Length):

{
  "tool": "convert_units",
  "arguments": {
    "value": 100,
    "from_unit": "km",
    "to_unit": "miles",
    "category": "length"
  }
}

Example Response:

{
  "value": 100,
  "from_unit": "km",
  "to_unit": "miles",
  "category": "length",
  "result": 62.1371,
  "formatted": "100 km = 62.1371 miles",
  "status": "success"
}

Example Request (Temperature):

{
  "tool": "convert_units",
  "arguments": {
    "value": 32,
    "from_unit": "fahrenheit",
    "to_unit": "celsius",
    "category": "temperature"
  }
}

Example Response:

{
  "value": 32,
  "from_unit": "fahrenheit",
  "to_unit": "celsius",
  "category": "temperature",
  "result": 0.0,
  "formatted": "32 fahrenheit = 0.0 celsius",
  "status": "success"
}

🧪 Testing

Manual Testing with MCP Inspector

  1. Install MCP Inspector:

    npm install -g @modelcontextprotocol/inspector
    
  2. Run the inspector:

    mcp-inspector python server.py
    
  3. Test each tool through the inspector interface

Testing with Claude Desktop

  1. Configure Claude Desktop (see Usage section)
  2. In a conversation, ask Claude to use the tools:
    • "What's the weather in Paris?"
    • "Convert 100 USD to EUR"
    • "What time is it in Tokyo?"
    • "Calculate 25 multiplied by 4"
    • "Convert 100 kilometers to miles"

📁 Project Structure

mcp-tools-server/
│
├── server.py              # Main MCP server implementation
├── requirements.txt       # Python dependencies
├── .env                   # Environment variables (API keys) - not in git
├── .env.example          # Example environment file
├── .gitignore            # Git ignore file
├── README.md             # This file
└── venv/                 # Virtual environment (not in git)

🔒 Security Notes

  • Never commit your .env file to Git
  • The .gitignore file is configured to exclude sensitive files
  • API keys are stored securely in environment variables
  • All API requests include timeout protection

🐛 Error Handling

All tools include comprehensive error handling for:

  • Invalid inputs
  • Missing API keys
  • Network failures
  • API errors
  • Division by zero (calculator)
  • Invalid currency codes
  • Unknown cities/locations

Errors are returned in a consistent format:

{
  "error": "Descriptive error message",
  "status": "error"
}

📝 Dependencies

  • fastmcp - FastMCP framework for building MCP servers
  • requests - HTTP library for API calls
  • python-dotenv - Environment variable management

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

This project is open source and available under the MIT License.

👤 Author

Your Name - Habeeb Temitope Lawal

🙏 Acknowledgments

  • FastMCP framework
  • OpenWeatherMap API
  • ExchangeRate-API
  • WorldTimeAPI

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选