"Pine Script v6 Python integration or comparison" matching MCP servers:

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

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.

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

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.

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 tools to check weather information for any city and manage prospects in Upnify CRM with dynamic authentication, eliminating the need for pre-configured credentials.

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.

A FastMCP server providing real-time weather, news retrieval, and local note management tools for autonomous CrewAI agents. It enables context-aware multi-agent workflows with observability and high-speed inference integration.

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.

Enables automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

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.

Enables querying live weather, retrieving programming jokes, accessing GitHub user profiles and repository searches, and making custom HTTP requests to any API endpoint.

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

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

Provides current weather data for any location using the OpenWeatherMap 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.

A production-ready MCP server that provides real-time weather information, forecasts, air quality, and weather alerts through the OpenWeatherMap API. It integrates with Claude Desktop and other MCP-compatible clients for natural language weather queries.

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.

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

MCP server that exposes real-time weather, forecasts, air quality, and multi-city comparison tools via the OpenWeather API for LLM agents.