Minimal Model Context Protocol (MCP) server and client for weather data

0
0 Reviews
0 Stars
This MCP provides a modular server and client for weather data, utilizing Node.js and TypeScript, supporting weather alerts and forecasts via MCP protocol.
Added on:
Created by:
May 13 2025
Minimal Model Context Protocol (MCP) server and client for weather data

Minimal Model Context Protocol (MCP) server and client for weather data

0 Reviews
0
0
Minimal Model Context Protocol (MCP) server and client for weather data
This MCP provides a modular server and client for weather data, utilizing Node.js and TypeScript, supporting weather alerts and forecasts via MCP protocol.
Added on:
Created by:
May 13 2025
Pedro Feitosa
Featured

What is Minimal Model Context Protocol (MCP) server and client for weather data?

This MCP implementation enables real-time weather data sharing using a server and client built with Node.js and TypeScript. The server offers tools such as fetching active weather alerts for US states and weather forecasts based on latitude and longitude. The client manages server communication, tool execution, and error handling, making it suitable for weather monitoring applications. It is integrated with the US National Weather Service API and employs input validation with Zod. This setup facilitates seamless data exchange, supports scalable updates, and ensures type safety for robust weather data management.

Who will use Minimal Model Context Protocol (MCP) server and client for weather data?

  • Developers building weather data applications
  • Meteorological agencies
  • Weather service integrators
  • Research institutions analyzing weather patterns

How to use the Minimal Model Context Protocol (MCP) server and client for weather data?

  • Step1: Clone the repository from GitHub
  • Step2: Install dependencies for server and client
  • Step3: Build the server and client using npm scripts
  • Step4: Run the server with 'npm start'
  • Step5: Use the client to execute weather tools like 'get-alerts' or 'get-forecast'

Minimal Model Context Protocol (MCP) server and client for weather data's Core Features & Benefits

The Core Features
  • Weather alerts retrieval
  • Weather forecasting
  • Type-safe tool execution
  • Error handling and validation
  • Integration with US NWS API
The Benefits
  • Modular and scalable design
  • Type safety and input validation
  • Real-time weather data sharing
  • Easy integration into weather systems
  • Robust error management

Minimal Model Context Protocol (MCP) server and client for weather data's Main Use Cases & Applications

  • Real-time weather alert monitoring for US regions
  • Weather forecast retrieval for applications and research
  • Integration of weather data in meteorological dashboards
  • Development of weather-related alert systems

FAQs of Minimal Model Context Protocol (MCP) server and client for weather data

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.