"Documentation for Vercel AI SDK" matching MCP servers:

Provides LLMs with real-time, historical, and forecast Australian weather data via Open-Meteo, using plain-English location keys and fuzzy search.

Provides real-time air quality data (US AQI, PM2.5, PM10, ozone, NO2, SO2, CO) for any city via natural language, using free Open-Meteo data and a single tool.

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

A simple MCP server demonstrating tools, resources, and prompts for weather data, built during an Agentic AI Internship.

Provides current weather alerts for specified locations to AI assistants through the Model Context Protocol.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

A minimal MCP server demo written without the MCP Python SDK that demonstrates the complete protocol flow. It provides weather, file search, and datetime tools, and includes a CLI client that bridges MCP tools with OpenAI function calling.

Provides access to comprehensive weather data including real-time conditions, forecasts, historical weather, marine data, astronomy information, and weather alerts through the Weatherapi.com API.

Provides current weather data, multi-day forecasts, hourly forecasts, and city lookup functionality using the QWeather API. Supports customizable units, languages, and multiple location formats including coordinates and city IDs.

Provides access to comprehensive weather data including current conditions, forecasts, air pollution levels, US weather alerts, earthquake information, and country details using coordinates, place names, or zip codes.

Provides travel planning tools for Cox's Bazar, Bangladesh, including weather forecasts, AI-powered itinerary generation, and pre-configured travel planning prompts.

Enables automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

A simple demonstration server for the MCP Python SDK that provides weather alerts for locations, allowing users to query weather information through Claude Desktop or Cursor.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

An MCP server that provides access to current weather data and 5-day forecasts via the Open Weather13 API. It enables users to retrieve weather information using city names or geographic coordinates across various languages.

A modular MCP server that connects to external APIs, providing tools for weather data, user management, and company operations. Features a scalable architecture with TypeScript support, HTTP client abstraction, and robust error handling.

Provides access to weather information by location using the API Ninjas Weather API, supporting queries by coordinates, zip code, city, state, and country.

Enables AI assistants to access real-time weather data by city and manage HR operations including job applications, recruitment tracking, and interview scheduling through a unified, modular interface with live updates via SSE.

Hosted MCP server for weather forecast data. Enables AI agents to discover datasets, build validated API requests, and execute live weather queries after OAuth.

Provides 25 geophysical intelligence tools for multi-hazard risk scoring, earthquake/volcano/tsunami/sinkhole prediction, weather intelligence, insurance underwriting, climate migration, and parametric triggers.