Air-Pollution
This project is a Model Context Protocol (MCP) Server built using Node.js + Express.js that interacts with the OpenWeather API. It allows users to fetch air pollution data based on latitude & longitude or city & country. The backend ensures secure API key management using dotenv and handles API requests efficiently.
What is Air-Pollution?
what is Air-Pollution? Air-Pollution is a Model Context Protocol (MCP) Server built using Node.js and Express.js that interacts with the OpenWeather API to provide users with air pollution data based on geographical coordinates or city information. how to use Air-Pollution? To use Air-Pollution, send a request to the server with either latitude and longitude or city and country parameters to fetch the relevant air pollution data. key features of Air-Pollution? Fetch air pollution data using geographical coordinates or city names. Secure API key management using dotenv. Efficient handling of API requests. use cases of Air-Pollution? Monitoring air quality in specific locations. Researching the impact of pollution on health. Integrating air quality data into environmental applications. FAQ from Air-Pollution? What data can I retrieve using Air-Pollution? You can retrieve air pollution data based on latitude & longitude or city & country. Is the API key management secure? Yes, the project uses dotenv for secure API key management. How can I contribute to the project? You can contribute by submitting issues or pull requests on the GitHub repository.
As an MCP (Model Context Protocol) server, Air-Pollution enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Air-Pollution
To use Air-Pollution, send a request to the server with either latitude and longitude or city and country parameters to fetch the relevant air pollution data. key features of Air-Pollution? Fetch air pollution data using geographical coordinates or city names. Secure API key management using dotenv. Efficient handling of API requests. use cases of Air-Pollution? Monitoring air quality in specific locations. Researching the impact of pollution on health. Integrating air quality data into environmental applications. FAQ from Air-Pollution? What data can I retrieve using Air-Pollution? You can retrieve air pollution data based on latitude & longitude or city & country. Is the API key management secure? Yes, the project uses dotenv for secure API key management. How can I contribute to the project? You can contribute by submitting issues or pull requests on the GitHub repository.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Air-Pollution can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Air-Pollution provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.