"MCP-N8N integration or server" matching MCP servers:

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 AI assistants to query French public open data through read-only tools: geocoding and reverse geocoding of addresses, company lookups by name, address, leader or SIREN, and commune listings by name, postcode or département. It wraps free, keyless government APIs (IGN Géoplateforme/BAN, Recherche d'entreprises/SIRENE, geo.api.gouv.fr) over stdio or Streamable HTTP with validated inputs and rate limiting.

MCP server that wraps NVE's open GIS data to provide flood risk and landslide risk point lookups, with explicit uncertainty reporting (e.g., 'no data' vs 'safe') and source references.

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.

MCP server that wraps open Norwegian neighborhood data, enabling queries for public transport coverage, traffic noise, and green areas around a location.

Provides IP address geolocation and related info via an API, with MCP server integration for easy use in AI tools.

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.

Provides seamless access to TomTom's location services including search, routing, traffic and static maps data, enabling easy integration of precise geolocation data into AI workflows and development environments.

Enables integration with Boxberry delivery services, allowing users to search cities and pickup points, calculate delivery costs and times, track shipments, check postal indexes, and list services.

An AI-powered server that helps users discover and book restaurants based on location, cuisine preferences, mood, and event type, with integration to Google Maps Places API for accurate recommendations.

A Model Context Protocol server that provides Google Maps API integration, allowing users to search locations, get place details, geocode addresses, calculate distances, obtain directions, and retrieve elevation data through LLM processing capabilities.

Enables integration with Mapbox API for navigation and location services, including directions between coordinates or places, travel time/distance matrices, and geocoding to search places and convert addresses to coordinates.

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

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.

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.

An MCP server that creates a virtual traveling environment on Google Maps, allowing users to guide an avatar on journeys with photo reports and SNS integration.

Enables AI assistants to search local businesses in the Western Cape by category, town or name, read menus and price lists, and view public business details. Users can also start a quote, booking or order request that they finish in WRDO.