"Creating a Postgres MCP server in Python" matching MCP servers:

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.

Enables to perform mathematical calculations, retrieve weather information, and manage files through a standardized MCP interface, showcasing best practices for building MCP servers.

Enables AI agents to retrieve current atmospheric conditions for a specified location via OpenWeatherMap.

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.

A Model Context Protocol (MCP) server that provides US weather forecasts and active alerts using the National Weather Service API.

Enables AI agents to fetch real-time weather data for any location using the OpenWeatherMap API. Demonstrates how to build a simple MCP server that exposes weather information as a tool for LLMs.

Provides two MCP server examples in Python: a minimal greeting tool and a weather tool that fetches real-time data from Open-Meteo API.

A tutorial-based MCP server that fetches real-time weather data from the OpenWeatherMap API for specified locations. It serves as a practical example for implementing the Model Context Protocol using Python and the FastMCP library.

Provides weather information from the National Weather Service API with full MCP OAuth 2.1 compliance, including weather alerts and forecasts for US locations through secure Azure AD authentication.

Provides current weather alerts for specified locations to AI assistants through the Model Context Protocol.

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.

Provides current weather data for any location using the OpenWeatherMap API.

A minimal Python-based server that provides real-time weather data and a safe mathematical expression evaluator. It enables users to fetch current weather conditions and perform complex calculations using the Model Context Protocol.

A Python MCP server with JWT authentication and sample tools (weather + Bitcoin price), plus an AI agent that uses OpenAI to reason about and call those tools.

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

A demo MCP server that enables users to interact with various tools through natural language, including note management, weather queries, calculations, file operations, and shell commands. Uses Ollama for intent detection and structured command parsing from free text input.

MCP server for SMHI weather data, providing current conditions, hourly and daily forecasts, and daily summaries for northern Europe.

MCP server for worldwide weather data, using high-resolution GeoSphere Austria data for the Alpine region and Open-Meteo elsewhere. Provides current conditions, hourly forecasts, and daily outlooks with compact emoji-markdown output.

Enables AI assistants to retrieve current weather conditions and forecasts for specified locations by geocoding places and pulling data from Open-Meteo, with optional natural-language summaries via Groq.