"Figma design tool and resources" matching MCP servers:

Exposes the getWeather and getTime tools over a stateless streamable-HTTP MCP endpoint at /mcp, so clients can look up weather for a location and the current time for a timezone through MCP tool calls. Running the same pure tool code as the app's OpenAPI surface, it lets you register the deployment as a remote MCP tool and compare MCP against custom-OpenAPI integration.

An MCP server for US electricity demand and weather data that provides tools, resources, and prompts to query hourly demand, daily demand, peak demand, and demand vs temperature across regions, all running locally with a bundled SQLite database.

Enables LLMs to retrieve weather forecasts for Israeli cities via browser automation and USA weather via API, maintaining state across tool calls for sequential operations.

Provides aviation weather data (METAR, TAF, station search) with a unique assess_conditions tool that returns flight category, confidence, and an escalation gate to indicate when human review is needed.

Provides live weather radar and text-based radar maps for any location via the get_weather tool, returning structured data and character grid visualizations readable by both humans and LLM agents.

Enables LLMs to retrieve up-to-date weather forecasts for Israeli cities from weather2day.co.il using Playwright and MCP, with Hebrew city name support and a sequential tool workflow.

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.

This MCP server enables AI assistants to perform calculations, fetch live weather, manage in-memory notes, access system info and note resources, and use reusable code review and summarization prompts.

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 real-time weather data by exposing a get_current_weather tool via MCP, using the Open-Meteo API over stdio JSON-RPC.

Enables AI assistants to retrieve Italian Alpine and Apennine hiking data, including numbered trails, refuges, avalanche bulletins, and mountain weather forecasts, through MCP tools, resources, and prompts.

Enables users to get the current temperature for a city through a single MCP tool, using Open-Meteo data with no API key required.

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

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.

Provides a weather forecast tool that accepts a city name (in Russian or English) and returns a 7-day forecast with temperature, precipitation, and wind data via the Open-Meteo API.

Enables users to ask for a city’s forecast for a specific day and receive a concise sentence, using Open-Meteo data through the get_forecast tool.

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

Enables Claude to design reliable hiking routes on real trails, computing accurate distance and elevation gain, locating notable points, technical passages, regulated areas, bivouac and stage options, and weather, with automatic validation across roughly 35 rules. Routes can be exported as GPX (including one file per day), Obsidian notes, HTML maps, and printable roadbooks.

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.

Enables dynamic, real-time weather alerts and forecasts from the National Weather Service through AI agentic tool calls.

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.