MCP Container Weather Server
A Docker-based MCP server that provides current weather information for cities worldwide. Enables AI assistants like Claude to fetch temperature, weather conditions, and humidity data through a standardized interface.
README
MCP Container
A Docker-based Model Context Protocol (MCP) server implementation that provides weather information through a standardized interface.
What is MCP?
The Model Context Protocol (MCP) is a standardized way for AI applications to interact with external tools and data sources. This container provides a weather information service that can be used by Claude and other MCP-compatible AI assistants.
Prerequisites
- Docker Desktop installed and running
- Claude Desktop (for using the MCP server)
- Git (for cloning the repository)
Installation
1. Clone the Repository
git clone https://github.com/Pimmetjeoss/MCP_container.git
cd MCP_container
2. Build the Docker Image
docker build -t mcp-server .
This will create a Docker image with Python 3.11 and all necessary dependencies.
3. Run the Container
docker run -d --name mcp-weather-server mcp-server
The container will start and run the MCP weather server.
Configuration
Connect to Claude Desktop
To use this MCP server with Claude Desktop, add the following configuration to your Claude Desktop settings:
Windows: %APPDATA%\Claude\claude_desktop_config.json
Mac/Linux: ~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"weather": {
"command": "docker",
"args": ["exec", "-i", "mcp-weather-server", "python", "/app/weather.py"]
}
}
}
After updating the configuration, restart Claude Desktop.
Usage
Once configured, you can ask Claude to get weather information:
- "What's the weather in Amsterdam?"
- "Show me the forecast for New York"
- "Get weather data for Tokyo"
The MCP server will respond with temperature, conditions, and humidity information.
Available Tools
This MCP server provides the following tool:
- get-weather: Get current weather information for any city
- Input:
city(string) - Name of the city - Output: Temperature (°C), conditions, and humidity (%)
- Input:
Docker Commands
View Container Logs
docker logs mcp-weather-server
Stop the Container
docker stop mcp-weather-server
Start the Container
docker start mcp-weather-server
Remove the Container
docker rm -f mcp-weather-server
Rebuild After Changes
docker build -t mcp-server .
docker rm -f mcp-weather-server
docker run -d --name mcp-weather-server mcp-server
Project Structure
mcp_container/
├── Dockerfile # Docker configuration
├── weather.py # MCP server implementation
├── requirements.txt # Python dependencies
├── README.md # This file
├── QUICK_START.md # Quick setup guide
└── MCP_CONTAINER_GUIDE.md # Detailed documentation
Documentation
- QUICK_START.md - Fast setup guide to get running quickly
- MCP_CONTAINER_GUIDE.md - Comprehensive guide with examples and troubleshooting
Troubleshooting
Container won't start
- Make sure Docker Desktop is running
- Check if port is not already in use:
docker ps
Claude can't connect to MCP server
- Verify the container is running:
docker ps - Check container logs:
docker logs mcp-weather-server - Ensure the config file path is correct for your OS
- Restart Claude Desktop after changing configuration
Permission errors on Windows
- Run Docker Desktop as Administrator
- Make sure WSL2 is properly configured
Contributing
Feel free to submit issues and pull requests to improve this MCP server.
License
This project is open source and available under the MIT License.
Resources
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。