Weather MCP Server
An example weather mcp server in python
What is Weather MCP Server?
What is Weather MCP Server? Weather MCP Server is a Python-based server that implements the Model Context Protocol (MCP) to provide weather information services, utilizing the National Weather Service (NWS) API for fetching weather alerts and forecasts. How to use Weather MCP Server? To use the Weather MCP Server, clone the repository, install the necessary dependencies, and run the server. Connect it to MCP clients like Claude Desktop to access weather data. Key features of Weather MCP Server? Weather Tools: Access weather alerts and forecasts based on geographical coordinates. System Tools: Execute shell commands and monitor system processes. MCP Integration: Compatible with MCP clients for seamless data access. Use cases of Weather MCP Server? Retrieving current weather alerts for specific states. Obtaining weather forecasts for given latitude and longitude. Monitoring system resource usage and processes. FAQ from Weather MCP Server? Can I use Weather MCP Server for any location? Yes! You can get weather information for any location supported by the NWS API. Is there a graphical interface for this server? No, it is primarily a command-line tool designed for integration with MCP clients. How do I contribute to the project? You can contribute by adding new tools or resources and submitting a pull request on GitHub.
As an MCP (Model Context Protocol) server, Weather MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Weather MCP Server
To use the Weather MCP Server, clone the repository, install the necessary dependencies, and run the server. Connect it to MCP clients like Claude Desktop to access weather data. Key features of Weather MCP Server? Weather Tools: Access weather alerts and forecasts based on geographical coordinates. System Tools: Execute shell commands and monitor system processes. MCP Integration: Compatible with MCP clients for seamless data access. Use cases of Weather MCP Server? Retrieving current weather alerts for specific states. Obtaining weather forecasts for given latitude and longitude. Monitoring system resource usage and processes. FAQ from Weather MCP Server? Can I use Weather MCP Server for any location? Yes! You can get weather information for any location supported by the NWS API. Is there a graphical interface for this server? No, it is primarily a command-line tool designed for integration with MCP clients. How do I contribute to the project? You can contribute by adding new tools or resources and submitting a pull request on GitHub.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Weather MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Weather MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.