"ts-node" matching MCP servers:

A TypeScript-based MCP server that provides simulated weather data including current conditions, forecasts, alerts, and location search functionality through both MCP protocol and HTTP API endpoints.

Provides weather information for the United States through the Model Context Protocol. Enables users to query current weather conditions and forecasts for US locations.

Enables MCP hosts like Cursor to retrieve US National Weather Service alerts and forecasts through tools, along with a resource and prompt for weather lookups.

Provides real-time weather information and multi-day forecasts using the Open-Meteo API through a robust, enterprise-grade architecture. It enables AI assistants to retrieve current conditions, 7-day forecasts, and contextual weather data for any location.

An MCP server that offers arithmetic operations (addition and division) and current weather data from OpenWeatherMap. It serves as a learning project for building MCP servers with Node.js and TypeScript, supporting both stdio and Streamable HTTP transports.

Sample MCP server exposing 5 tools (weather, profile, wikipedia) via a single endpoint, designed to onboard developers to Mindset AI's MCP integration.

A remote MCP server that exposes a get_weather tool for real-time current weather queries of any city via the free wttr.in API, supporting Streamable HTTP transport.

A minimal Express-based MCP server that exposes a weather tool through HTTP endpoints, demonstrating how to implement the Model Context Protocol with streamable HTTP transport.

Enables querying weekly U.S. drought-severity statistics for the nation, states, and counties, including percent of area and population across None and D0–D4 categories. Supports optional date ranges for historical weekly maps.

Provides real-time hurricane tracking, 5-day forecast cones, location-based alerts, and historical storm data from NOAA/NHC through MCP tools for AI assistants.

Provides weather information tools including alerts for US states and forecasts by coordinates using the National Weather Service API. Uses streamable HTTP transport for scalable, multi-session connections.

Enables querying current weather, multi-day forecasts, and air quality (PM2.5, PM10, AQI) for Chinese cities, with fuzzy Chinese city-name resolution and a combined all-in-one lookup. Requires no API key or registration.

Production-ready integration of Microsoft Agent Framework with MCP, enabling AI agents to access tools like weather queries, calculations, and Taiwan stock prices through SSE/HTTP streaming transport with Azure OpenAI GPT-4 backend.

Enables access to Thailand public data without an account or API key, covering weather, maps, places, hazards, finance, and more via live no-key JSON APIs.

A weather simulation MCP server that provides deterministic mock weather data for any city, including current conditions and forecasts.

An MCP Server that provides weather information by ZIP code using Interzoid's API, allowing agents to retrieve current weather conditions based on postal codes.

Enables AI assistants to fetch current weather conditions and forecasts for any city using the Open-Meteo API. Provides temperature, precipitation, and hourly forecast data through natural language queries.

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.

Provides current weather data and city comparisons for any location with support for metric/imperial units and optional forecasts.

Exposes public weather and climate data through a standardized API, allowing AI agents to retrieve current conditions, 7-day forecasts, and historical data. It enables weather-aware automation and data enrichment for conversational agents and travel planning.