"IBM MCP Context Forge - Model Context Protocol Framework" matching MCP servers:

MCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.

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.

Integrates the US National Weather Service API with Claude Desktop to provide real-time weather conditions, forecasts, and detailed weather metrics for any US location through natural language queries.

Integrates the US National Weather Service API with Claude Desktop, enabling users to query current conditions and forecasts using natural language.

Enables AI agents to retrieve current weather conditions and 3-day forecasts for cities through standardized MCP tools over stdio.

Provides authoritative astronomical data including moon phases, solar eclipses, and sun/moon rise and set times using the US Navy API or offline Skyfield calculations. It enables users to query Earth's seasons and celestial events for any location and date.

Provides comprehensive weather data (forecasts, historical, air quality, marine) from Open-Meteo through 12 tools, with support for single and batch location queries.

Provides weather information for any city through the Model Context Protocol.

A Model Context Protocol server that provides tools for weather forecasting and Gmail interaction.

A sample Model Context Protocol server built with Hono framework that provides weather and news resources, calculator and string reversal tools, and code review prompt templates.

A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.

A Model Context Protocol server that enables users to fetch weather forecasts through Cursor AI by using natural language queries.

Provides real-time weather data including temperature, humidity, and conditions for any city through the Model Context Protocol.

An intermediate agent server that enhances LLMs with weather data capabilities using the Model Context Protocol (MCP) framework, enabling retrieval of real-time weather information.

A Model Context Protocol (MCP) server built with the mcp-framework to provide weather-related tools and data to AI clients. It enables integration of weather capabilities and custom tools into the MCP ecosystem for use with platforms like Claude Desktop.

MCP server that provides statistically rigorous weather and climate context by exposing the Baseline API as agent tools, enabling queries about climate conditions and comparisons against historical data.

A Model Context Protocol server for space weather and geomagnetic conditions, enabling AI agents to answer queries about solar flares, solar wind, geomagnetic storms, aurora forecasts, and more from authoritative data.

Model Context Protocol server for real-time US climate risk and home insurance metrics.

Archives Garmin Connect health data locally (steps, HR, sleep, body battery) as JSON, no cloud, and also pulls context data (weather, pollen, air quality). Built-in MCP server (with SQLite cache) exposes the archive for querying via LLM tool calls.

This is an MCP (Model Context Protocol) server that provides tools for interacting with the NOAA Tides and Currents API.