"Figma design tool and resources" matching MCP servers:

A production-grade MCP server that provides real-time weather data and demonstrates the complete MCP protocol surface including tools, resources, prompts, and structured output.

A simple MCP server demonstrating tools, resources, and prompts for weather data, built during an Agentic AI Internship.

A simple MCP server that exposes a get_weather tool to fetch real-time weather for any GPS coordinates using the Open-Meteo API, no API key required.

Provides MCP tools for reading the ant-design GitHub repository (repository info, directory listings, file contents) and for querying US weather alerts and forecasts via the National Weather Service API.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

MCP server that provides current weather for any city using Open-Meteo APIs. It exposes a single tool 'get_weather' returning temperature, humidity, wind, and other weather data.

This MCP server demonstrates basic Model Context Protocol architecture by exposing a get_weather tool that returns fake weather data, communicating over stdio.

Enables querying hardcoded weather data for Delhi, Mumbai, and Bangalore through natural language, using a single stdio-transport tool that Claude can discover and call.

Provides real-time weather information for cities worldwide using the OpenWeatherMap API, accessible through natural language queries via the MCP protocol.

Provides access to Hong Kong climate and weather data from the Hong Kong Observatory, including current conditions, forecasts, warnings, tides, and more.

Enables to query real-time weather information for any city worldwide by automatically geocoding city names and retrieving temperature, precipitation, and other data via Open-Meteo APIs, seamlessly integrated with Claude Desktop.

Provides an LLM with tools to retrieve US National Weather Service forecasts and active alerts, enabling natural-language answers about current conditions.

A minimal MCP server using FastMCP to demonstrate tool creation, including a get_weather example.

An MCP server that provides real-time weather alerts, forecasts, stock market data, and news information through various API integrations.

Enables AI agents to retrieve real-time weather conditions and forecasts via OpenWeatherMap API. Supports interactive weather queries and travel planning through MCP tools, resources, and prompts.

A learning project demonstrating how to build MCP servers with Python, featuring weather query tools that showcase custom tool creation, configuration, and integration with AI assistants.

A comprehensive template for building MCP servers with TypeScript, Fastify, and Docker support. Includes tools for calculations and weather data, resources for server information, and prompts for greetings with full development tooling.

A simple MCP server that provides a tool to fetch current weather information for cities using the Open-Meteo API, communicating through stdin/stdout.

An integration tool that allows users to fetch weather alerts/forecasts from the National Weather Service API and retrieve latest posts from hafiz.blog through natural language interactions with Claude.

A Model Context Protocol compatible server that provides weather information for any city using Ollama's LLM capabilities through an exposed get-weather tool.