"Redis MCP server or integration" matching MCP servers:

Provides real-time water temperature and tide predictions for any lake, river, ocean, bay, or beach using NOAA, USGS, and other sources.

Provides real-time US weather data for AI assistants via MCP, including current conditions, forecasts, alerts, severe weather outlooks, radar, upper-air analysis, and surface analysis. Supports optional personal weather station integration.

Provides Open-Meteo weather tools that return both structured forecast data for the model and a weather card (image link or text) for the user, plus geocoding of place names to coordinates. Requires no API key and works over stdio or streamable HTTP.

MCP server providing Korean weather forecasts from the KMA (short-term, hourly, daily) and timezone utilities (current time, conversion, lookup) using only standard Python zoneinfo.

Official aviation data MCP by Flight Master DAST (航班管家 DAST), providing flight status, route search, onboard comfort, delay and cancellation risk, airport weather forecasts, and real-time or historical flight trajectories.

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

Enables querying AgroClimate company data via natural language through ChatGPT or Claude.

Enables AI assistants to retrieve NOAA high and low tide times and heights for US stations, check whether the tide is rising or falling now, and find low-tide windows for tide pooling or clamming.

Enables users to check whether a beach suits a beach day or a surf session today or up to six days ahead, using Open-Meteo weather and marine forecasts scored by deterministic, documented rules. It exposes tools for raw hourly forecast data, suitability scores and verdicts by activity and skill level, and finding the best multi-hour window within a day.

Combines UK Met Office weather forecasts with travel routing to provide outfit recommendations for walking, cycling, or driving journeys.

Provides current weather data for any city using the Open-Meteo API, exposed as an MCP tool for integration with MCP clients.

Enables LLMs to query current and historic avalanche danger ratings by location and retrieve raw forecast GeoJSON from the Avalanche.org public API.

Demonstrates creating and connecting an MCP weather server using FastMCP, with support for integration with Claude Desktop, Cursor, and local LLMs to query weather alerts and information.

Provides tools to check weather information for any city and manage prospects in Upnify CRM with dynamic authentication, eliminating the need for pre-configured credentials.

Provides current weather conditions, multi-day forecasts, and location search capabilities through integration with weather APIs, enabling natural language weather queries and comparisons.

Provides weather forecast data for locations in China using the HeFeng Weather API, with real-time, hourly, or daily forecasts and location-based queries.

A FastMCP server providing real-time weather, news retrieval, and local note management tools for autonomous CrewAI agents. It enables context-aware multi-agent workflows with observability and high-speed inference integration.

A Model Context Protocol server that provides weather information and forecasts based on user location or address input.

An integration tool that allows users to fetch weather alerts/forecasts from the National Weather Service API and retrieve latest posts from hafiz.blog through natural language interactions with Claude.

A Model Context Protocol server that retrieves current weather information for any city using the OpenWeatherMap API, designed for integration with Claude Code.

Enables users to retrieve current weather alerts for US states and detailed weather forecasts by geographic coordinates using the US National Weather Service API. Built with Node.js and TypeScript following Model Context Protocol standards for seamless LLM integration.

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.

A learning project demonstrating how to build MCP servers with Python, featuring weather query tools that showcase custom tool creation, configuration, and integration with AI assistants.

A demonstration server showcasing MCP capabilities with basic tools including addition calculations and weather API integration for fetching city weather data.

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.

Integration platform for aviation data sources including weather, NOTAMs, airport information, and flight planning APIs, enabling comprehensive pre-flight preparation and in-flight decision support.

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.

Enables reading Tesla vehicle data from a TeslaMate PostgreSQL database, including status, trips, charging, efficiency, weather integration, and more, via 38 tools for MCP-compatible clients like Claude Code.

A Python-based MCP server that predicts tomorrow's weather. It can be used remotely via uvx or locally with uv.

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.

A TypeScript-based MCP server that facilitates note management and weather queries. It enables users to create, access, and summarize notes while providing integration for services like flomo.

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.

Enables AI assistants to look up cities, fetch current conditions, 24-hour and 14-day forecasts and air-quality data, and generate embeddable Markdown/HTML weather badges for READMEs or web pages without an API key.

A cross-platform MCP server that provides weather forecasts by coordinates, location name, or IP address without requiring API keys. It leverages Open Meteo and OpenStreetMap to deliver fast, single-query weather lookups.

Enables access to Thailand public data without an account or API key, covering weather, maps, places, hazards, finance, and more via live no-key JSON APIs.

Adapts the HeFeng QWeather MCP server for ModelScope cloud hosting, allowing weather queries through stdio or HTTP with a default stdio entry.

Provides weather data from the Thai Meteorological Department (TMD) with tools for querying stations, weather by province, and summaries, deployable via Docker or remote server.

An MCP server that provides real-time weather information, 4-day forecasts, and city search functionality for Chinese cities via the AMap API. It enables users to query weather data using city names or administrative codes through natural language interactions.

Provides weather data integration using the OpenWeatherMap API, enabling users to fetch current weather conditions, hourly and daily forecasts, weather alerts, and geocoding services for any location worldwide.

A weather intelligence MCP server providing current conditions, forecasts, historical data, agricultural alerts, and severe warnings.