"Techniques for Multi-Model Integration" matching MCP servers:

MCP server for checking historical weather data for cities using OpenWeather API. Exposes a get_historical_weather tool.

Provides 7 tools for weather (geocoding, current conditions) and country data (capital, currency, population, dial code, flag) via Open-Meteo and CountriesNow APIs, designed for multi-agent AI systems.

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 server implementation demonstrating how AI models can interact with external tools and services through Model Context Protocol, featuring integrations for calculator functions, GitHub repositories, and Google Maps searches.

Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP

Provides Google Maps functionality through Cloud Run, enabling route calculation, traffic analysis, route comparison, and trip cost estimation with rate-limited public access.

Enables a local Grok Bot to talk to the unofficial MySubaru API over stdio, supporting vehicle status, locate, tire pressure, fuel, odometer, climate presets, and explicit lock/unlock/remote start actions without exposing secrets.

Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP

Enables AI assistants to access real-time Transport for London data, including tube/bus arrivals, line status, journey planning, and disruptions.

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.

A developer-focused server that exposes information from VW vehicles via a Model Context Protocol (MCP) interface. This project is designed for integration, automation, and experimentation with connected car data.

Enables querying GeoIP2, GeoLite2, and custom MMDB databases through the Model Context Protocol for IP lookups, filtered network queries, resumable pages, and MaxMind database downloads.

An MCP server for holiday flight planning powered by Google Flights via SerpAPI, enabling real-time flight search, destination discovery, airport comparison, and multi-country trip planning.

A Model Context Protocol server that provides geocoding services by integrating with the Nominatim API, allowing AI assistants to perform location-based lookups.

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.

An MCP server that exposes geocoding, current weather, and multi-day forecast as typed, structured tools for AI agents via the Open-Meteo API.

A Model Context Protocol (MCP) server for Google Maps — routing, place discovery, and commute comparison over stdio.

Enables AI assistants to retrieve current weather conditions and multi-day forecasts for any location, with optional natural-language summaries.

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

An MCP server for out-of-home (OOH) site-reachability tooling that provides geospatial catchment scoring and multi-site comparison for billboard/ad-site evaluation using open data.