"weather" matching MCP servers:

Enables fetching weather forecasts for Israeli cities by controlling a headless browser via Playwright, instead of using a conventional weather API.

Enables users to get real-time weather data and contextual natural-language insights for any city by combining OpenWeather API with a RAG pipeline and Groq LLM, and can be used via MCP clients like GitHub Copilot.

A demonstration project for Model Context Protocol (MCP) that integrates weather services with multiple AI models (Claude, GPT, Gemini), enabling natural language queries for weather alerts and forecasts.

Provides weather intelligence as MCP tools (current weather, forecast, air quality, UV index, alerts) with agentic orchestration, memory, and citation-grounded RAG.

This SSE-based MCP server allows users to connect and interact with National Weather Service APIs to retrieve weather alerts and forecasts.

Enables users to query real-time weather data for Israeli cities using natural language, automatically scraping a weather website via Playwright and returning AI-generated answers.

Enables users to query weather, perform web research, and manage a graph database through natural language.

A Model Context Protocol server that exposes Retrieval-Augmented Generation capabilities and a weather tool, allowing clients to interact with document knowledge bases and retrieve weather information.

MCP server for Vybsly AI-first search API, providing full-content web search with 24M+ pages, encyclopedia federation, strict-mode filters, and real-time data tools. Enables natural language search, content extraction, and access to live data like stocks, weather, and news through Claude Desktop, Cursor, or other MCP clients.

A Model Context Protocol implementation that enables large language models to call external tools (like weather forecasts and GitHub information) through a structured protocol, with visualization of the model's reasoning process.

Aggregates multiple third-party APIs into unified MCP tools, providing out-of-the-box access to 10 popular services including OpenWeather, Google Maps, GitHub, Notion, Spotify, and more. Enables users to interact with weather data, search places, manage repositories, create content, and access various web services through a single MCP server.

Enables AI assistants to analyze farm locations, retrieve soil and weather data, access commodity market prices, and chat with an agricultural advisor for farming recommendations.

Enables notes management, weather and news search, document ingestion and RAG-based semantic search using GroundX, with OpenAI GPT integration for summarization and completions.

MCP server providing weather lookup, semantic search over personal notes (RAG), and image generation tools for any MCP client like Claude Desktop.

Enables document-grounded question answering, arithmetic calculations, live weather lookups, and persistent chat history through a ReAct agent with hybrid retrieval.

An AI-powered office assistant using LLM, RAG, and MCP tools to answer weather queries, retrieve information from documents, and automatically generate Excel and Word reports.

A multi-tool AI assistant system that uses Model Context Protocol to connect language models with various tools, including math calculations and weather information.

An AI agent that orchestrates four specialized MCP servers to provide actionable agricultural recommendations for Chilean farmers, integrating weather, market prices, crop history, and regulatory documents.

Enables users to plan Singapore itineraries by combining a retrieval-augmented knowledge base with live weather forecasts and currency conversion through MCP tools.

A unified API provisioning layer that provides AI agents with access to multiple services like weather, stocks, health data, maps, and LLMs through a single MCP endpoint. It handles account creation, key management, quota enforcement, and failover so developers never need to interact with individual provider portals.