"Documentation for Vercel AI SDK" matching MCP servers:

A template for deploying MCP servers on Vercel with example tools for rolling dice and getting weather data. Provides a foundation for building custom MCP servers with tools, prompts, and resources that can be deployed to Vercel's serverless platform.

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.

One-call Australian weather plumbing for current and historical data — cited responses for practical analysis, not a data broker.

Enables AI to query live weather, domains, IPs, DNS, SSL, currency rates, and more via the APIFreaks API.

MCP server for wind forecasts, live measurements, wave forecasts, and tides, enabling kite and surf spot checks via AI assistants.

WindAI MCP Server — AI-powered wind resource assessment for any location on Earth.

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.

Enables querying Polish air-quality data from GIOŚ stations by providing tools to list stations, get sensor readings, and retrieve the composite air-quality index.

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

Enables AI assistants to retrieve real-time weather data and 5-day forecasts for any city using the OpenWeather API, supporting both metric and imperial units.

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 weather information and time utilities for AI assistants, enabling them to fetch current weather for any city and get the current timestamp.

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.

Serves Open-Meteo weather forecasts from a standalone stdio MCP process, letting any MCP client fetch forecast data without importing the harness into the plugin process. It pairs this with a comparison suite that measures in-process plugin behavior against the signed MCP bridge, documenting isolation and trust-ladder evidence.

A simple server that implements the Model Context Protocol, allowing AI models like Claude to fetch real-time weather information for any location using the wttr.in 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.

A Model Context Protocol server that enables AI assistants to fetch current weather, forecasts, and search for locations using WeatherAPI service through stdio communication.

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.

Predicts the likelihood of school closures due to snowfall and severe winter weather using real-time weather data and machine learning algorithms.

A Model Context Protocol server that provides current weather forecasts for specific locations and active weather alerts for US states.

Provides weather information for the United States through the Model Context Protocol. Enables users to query current weather conditions and forecasts for US locations.

A Model Context Protocol server that provides AI agents with tools to retrieve weather alerts and detailed forecasts for US locations using the National Weather Service API.

A simple Node.js MCP server that exposes three tools: greet for personalized messages, calculate for basic math operations, and weather_info for mock weather data retrieval.

A lightweight server that exposes weather-related tools (get_coordinates and get_forecast) using the Modular Command Protocol, designed for integration with AI agents and LLMs.

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.

Provides real-time weather information for any location worldwide using the wttr.in service, enabling AI assistants to fetch current weather conditions and temperatures through natural language queries.