"Learning NestJS Framework Knowledge" matching MCP servers:

Provides current weather data for any city using the Open-Meteo API, exposed as an MCP tool for integration with MCP clients.

Provides AI agents access to OpenStreetMap's comprehensive tagging knowledge base, enabling tag queries, preset discovery, and validation of OSM tags for mapping applications.

An MCP-native enterprise operations platform that unifies team management, product catalog, order processing, knowledge base, location intelligence, analytics, and DevOps monitoring into a single server accessible from any MCP-compatible AI agent.

Provides real-time weather data for 12 Chinese cities and global locations via wttr.in API, integrated with the HelloAgents framework.

Enables real-time weather queries for 12 major Chinese cities and global locations using the wttr.in API. Built on the HelloAgents framework with no API key required.

Provides real-time weather information for 12 major Chinese cities and global locations using the wttr.in API. Built with the HelloAgents framework, it requires no API keys and supports queries in both Chinese and English.

A real-time weather query server based on the HelloAgents framework that provides weather data for major Chinese cities and global locations via the wttr.in API. It allows users to retrieve temperature, humidity, and atmospheric conditions without requiring an API key.

Enables AI to explore real-world coordinates by simulating physical presence with sensory details like terrain, weather, sounds, and local knowledge through MCP tools.

An MCP server that provides offline access to ZIM file archives, including Wikipedia, medical knowledge, and maps. It dynamically exposes tools like search, article retrieval, and driving route planning based on available ZIM files.