Node.js OpenWeather MCP

mcp-nodejs is an MCP server that connects AI assistants to the OpenWeather API using a Node.js runtime. Built as a sample integration, the server allows Model Context Protocol clients such as Claude Desktop to retrieve live meteorological data, daily forecasts, temperature metrics, and current atmospheric conditions for global geographic locations. Developers and technical users employ this server to augment conversational agents with real-world weather intelligence without needing to manage manual HTTP requests within prompts. By configuring an OpenWeather API key, users enable their language models to autonomously check the forecast, inspect regional weather patterns, convert temperatures, and assess climate data directly inside conversational workflows. Because the project is implemented in JavaScript on Node.js, it serves both as an operational utility for meteorological queries and as a baseline template for programmers looking to implement their own custom tools using the Model Context Protocol in Node.js environments. The server simplifies tool execution for connected clients, returning structured weather responses that AI models can interpret and present accurately to end users.

Category: Maps, Weather & Local Data

Tags: forecast, meteorology, openweather, weather

Visit Node.js OpenWeather MCP

How to install and configure Node.js OpenWeather MCP

1. Visit the project repository at https://github.com/fernandr/mcp-nodejs to review installation prerequisites, runtime dependencies, and setup instructions provided by the maintainer. 2. Clone the repository locally or download the source files to your development environment. 3. Obtain an API key from the OpenWeather service to authenticate data requests. 4. Configure your MCP client, such as Claude Desktop, by editing its configuration file to register the local Node.js server script. 5. Provide your OpenWeather API key as an environment variable or argument within your client configuration. 6. Restart your MCP client to verify the connection and confirm weather tools are available.

What you can do with Node.js OpenWeather MCP

• Checking current weather conditions and temperatures for specific global cities directly during conversational interactions with an AI assistant. * Providing AI agents with multi-day meteorological forecasts to assist users with travel planning, outdoor event scheduling, or logistics. * Evaluating regional atmospheric indicators such as humidity, wind speed, and barometric pressure for technical and environmental inquiries. * Using the server implementation as a reference architecture to build and test custom Node.js Model Context Protocol integrations.

Key facts

• https://github.com/fernandr/mcp-nodejs
• Maps, Weather & Local Data
• forecast, meteorology, openweather, weather

Part of MCP Servers

What is mcp-nodejs?

mcp-nodejs is an example Model Context Protocol server developed in Node.js that connects AI clients to the OpenWeather API. It enables compatible AI assistants to query current weather information, atmospheric measurements, and forecasts for specified geographical locations by acting as a bridge between the model and the external OpenWeather service.

Which MCP clients work with mcp-nodejs?

The server works with any client application that implements the Model Context Protocol specification, including Claude Desktop and compatible developer environments. Once registered in the client configuration, the AI assistant can discover and execute the weather tools exposed by the Node.js server during user conversations.

Does mcp-nodejs require an API key?

Yes, using this MCP server requires an active OpenWeather API key. The server makes requests directly to OpenWeather endpoints, which require authentication. Users must sign up for an OpenWeather account, generate an API key, and provide it in the server environment configuration before querying weather data.

How do I install mcp-nodejs?

To install mcp-nodejs, clone the source repository from GitHub to your local machine and ensure you have Node.js installed. Refer to the project documentation at https://github.com/fernandr/mcp-nodejs for environment variable configuration, package dependencies, and instructions on adding the server command to your MCP client configuration file.