"Combining MCP Server Aggregator" matching MCP servers:

AI-powered weather aggregation from 6 sources with intelligent deduction, working as both a REST API and MCP Server for AI assistants like Claude and Cursor.

Provides calibrated weather probability signals for Kalshi prediction markets by combining dual-model forecasting (NWS + GFS ensemble) to identify mispriced temperature markets. Enables AI agents to access bias-corrected forecasts and edge signals for weather prediction market intelligence.

Enables riders to ask an assistant for wind-sport forecasts at a named spot, combining AROME, ICON, ECMWF, GFS, UKMO and other models into one hourly table with consensus, spread, gust diagnosis, and onshore/offshore safety relative to the beach orientation. It also finds spots, lists which models apply locally, and returns rideable daytime windows within a given knot range.

An MCP server that calculates commute difficulty by combining transit routes, weather, and holiday info. It enables users to get a score representing the burden of a commute based on travel time, transfers, walking, and discomfort.

BikeScout is a specialized MCP (Model Context Protocol) server designed for cyclists and mountain bikers. It provides intelligent trail recommendations by combining real-world map data with advanced routing analysis.

Enables natural language weather queries for cities in Israel and the United States, combining browser automation and official API retrieval.

Provides astrology-aware garden care planning by combining lunar phase, Vedic panchang, weather, and soil forecasts into structured care plans with rationales and confidence scores.

Provides current weather information by combining geocoding and weather data APIs, supporting city names with optional state and country parameters and locale-based unit preferences.

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

Turns your Garmin watch into a sailing analytics tool by combining GPS data from Garmin Connect with historical weather data, providing insights like speed, VMG, wind conditions, and interactive maps.

A Model Context Protocol (MCP) Server that provides unified access to multiple external APIs (weather, news, financial data) through a single, consistent interface for AI agents and LLMs.

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.

Lets an LLM plan hikes anywhere in Switzerland by combining named routes, elevation profiles, weather forecasts, and public transport.

Enables intelligent travel planning by combining weather forecasts and route calculations for destinations. Provides personalized travel recommendations based on weather conditions and supports trip planning with persistent conversation memory.