"Guide for Updating Code Version from Java 17 to 18 or Python 2 to 3" matching MCP servers:

Connects users to mental health counseling centers and welfare programs based on location and situation, prioritizing crisis resources.

An MCP-based project that integrates Zhipu AI and Tencent Map APIs to provide weather queries, geocoding, and web search functionality through both command-line and web interfaces.

Discovers Korean national heritage, resolves designation numbers, and creates heritage-focused trip plans using official National Heritage Administration data.

An AI-powered travel assistant connected to Claude via MCP that helps users plan Amazon Rainforest trips by providing directions, hotel recommendations, adventure spots, cultural sites, and travel precautions.

MCP server that provides Korean weather information using grid coordinates and the Korea Meteorological Administration API, allowing users to query current weather conditions and forecasts for specific locations in Korea.

Provides weather forecast and alert information for US locations using the National Weather Service API. Enables users to get detailed weather forecasts by coordinates and retrieve active weather alerts by state.

Enhances LLM responses by grounding them in official Google Maps Platform documentation and code samples via MCP tools for developing applications.

MCP server for converting PLSS legal descriptions to GPS coordinates and vice versa, enabling AI agents to work with U.S. Public Land Survey System data.

MCP server that retrieves up-to-date Google Maps Platform documentation and code samples to ground AI-generated code in official guidance.

Enables AI assistants to interact with the Open Charge Map API, allowing exploration of endpoints, test requests, and using documentation to integrate the SDK.

Enables lookup of Brazilian addresses by CEP (postal code) using the ViaCEP API, returning formatted address information including street, neighborhood, city, and state.

Enables querying weather data through natural language, providing current conditions, daily and hourly forecasts, and city comparisons using the wttr.in API.

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

Enables AI assistants to search for Quest Apartment Hotels across Australia by interpreting location-based queries for cities, suburbs, and landmarks. It calculates distances to the nearest properties and provides detailed hotel data including amenities, pricing, and ratings.

Provides real-time South African load shedding data through the EskomSePush API. Enables users to check current load shedding stages, monitor API usage, and access area-specific schedules and searches with natural language queries.

MCP server for Starbucks — let AI agents search the menu, customize drinks, find stores, place mobile pickup orders, and manage Starbucks Rewards.

MCP server for Wendy's that enables AI agents to search the menu, view nutrition info, find nearby locations, and place mobile orders.

MCP server for Chipotle — let AI agents find locations, browse menus, build custom orders, and checkout for pickup or delivery.

Enables AI assistants to search the Burger King menu, manage a cart with item customizations, and find nearby restaurant locations. It facilitates ordering for pickup or delivery using Playwright browser automation.

An MCP server that enables users to search for Publix products, find store locations, and browse weekly deals. It provides detailed information including product prices, aisle locations, and store operating hours.