MCP Server

by Cavumnigrum

312 downloads

Not rated

GitHub

Developer Tools

About

MCP Server is a Python-based MCP (Model Context Protocol) server that provides the current USD exchange rate, weather forecast, and news from the last week. It is intended for developers who want to integrate these external data sources into MCP-compatible applications.

Details

Author: Cavumnigrum
Downloads: 312
Categories: Developer Tools

- Provides current USD exchange rate from exchangerate-api.com.
- Delivers weather forecast from openweathermap.org.
- Supplies news articles from the last week via newsapi.org.
- Written in Python and follows the MCP protocol.
- Includes a test suite runnable with pytest.
- Docker‑Compose files for containerized server and client.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name MCP Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

From the repository

Clone the repository, create a Python virtual environment, install dependencies, and set up API keys for exchangerate-api, openweathermap, and newsapi in a .env file. Run the server with python mcp_server.py – it becomes available at http://localhost:8000. A self‑written client can be launched with python mcp_client.py. Docker deployment is also supported via docker-compose.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp server": {
            "test_MCPServer": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "test_MCPServer": {
        "command": "python",
        "args": [
            "-m",
            "venv",
            "venv"
        ]
    }
}

MCP Server

MCP сервер на Python, предоставляющий текущий курс доллара, прогноз погоды и новости за последнюю неделю.

Установка

1. Клонируйте репозиторий: ``

bash
   git clone https://github.com/Cavumnigrum/mcp_server_project.git
   cd mcp_server_project


2. Создайте виртуальное окружение:

bash
   python -m venv venv
   source venv/bin/activate  # Linux/Mac
   venv\Scripts\activate     # Windows



3. Установите зависимости:

bash
   pip install -r requirements.txt



4. Настройте API ключи:
   - Зарегистрируйтесь на:
     - exchangerate-api.com для курса доллара.
     - openweathermap.org для погоды.
     - newsapi.org для новостей.
   - Скопируйте

.env.example в .env

 и заполните своими ключами:

bash
     cp .env.example .env


5. Запустите сервер:

bash
   python mcp_server.py


   Сервер будет доступен по адресу

http://localhost:8000

.

Тестирование


Запустите тесты с помощью

pytest

bash
pytest test_mcp_server.py -v



Подключение клиента


Самописный клиент:

bash
python mcp_client.py


- При запуске клиента есть инструкция как им пользоваться

Дополнительно

В репозитории есть docker-файлы для создания контейнеров.
Порядок работы с докер-файлами:
1. Убедиться, что установлены необходимые пакеты для docker и docker-compose
2. Перейти в папку с проектом

bash
   cd path\to\project


3. Запустить docker-compose файл в двух режимах для сервера и клиента

bash
   docker-compose up -d server
   docker-compose run --rm client


4. После завершения работы можно уронить контейнеры с помощью

bash
   docker-compose down server client

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MCP Server

About

Details

Jump to

Setting up with Highlight

Setting up with Cursor

JSON

JSON

JSON

Setting up with Claude Desktop

JSON

JSON

JSON

Setting up with Windsurf

JSON

JSON

JSON

Setting up with Cline

JSON

JSON

JSON

Setting up with Goose

JSON

JSON

JSON

From the repository

Claude Desktop / Cursor

McpServers

MCP Server

Установка

Тестирование

Подключение клиента

Дополнительно

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

MCP Server

Установка

Тестирование

Подключение клиента

Дополнительно

Install

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