This MCP-enabled weather scraper fetches real-time weather information by scraping web sources, parsing HTML content efficiently, and structuring data with an LLM via OpenAI, providing accurate and timely weather updates.
Added on:
Created by:
Apr 19 2025
This MCP-enabled weather scraper fetches real-time weather information by scraping web sources, parsing HTML content efficiently, and structuring data with an LLM via OpenAI, providing accurate and timely weather updates.
Added on:
Created by:
Apr 19 2025
Syed Raza
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What is MCP Weather Scraper?
The MCP Weather Scraper leverages a lightweight language model integrated with a Model Context Protocol (MCP) server to extract real-time weather data from open web sources. It uses FastAPI to expose weather scraping functionalities, performs high-speed HTML parsing with Selectolax, and caches responses for performance optimization. The system can interpret unstructured web content, convert it into structured schemas, and deliver accurate weather information through an API. Designed for developers and data researchers, it simplifies the process of obtaining live weather updates with automation and AI reasoning, making it suitable for integration into weather monitoring, data analysis, and application development.
Who will use MCP Weather Scraper?
- Developers
- Data Researchers
- Weather App Developers
- AI Enthusiasts
- Automation Engineers
How to use the MCP Weather Scraper?
- Step1: Clone the repository from GitHub.
- Step2: Set up a virtual environment and install dependencies using pip.
- Step3: Create a .env file with your OpenAI API key.
- Step4: Run the server using uvicorn.
- Step5: Use the provided client script or curl commands to request weather data for specific locations.
MCP Weather Scraper's Core Features & Benefits
The Core Features
- Weather scraping via web content parsing
- HTML content extraction with Selectolax
- AI-driven interpretation of unstructured data
- Response caching for performance
- Integration with OpenAI LLM for data structuring
The Benefits
- Provides accurate real-time weather data
- Automates web content extraction
- Reduces manual data collection effort
- Ensures fast and efficient performance
- Supports structured data delivery through MCP protocol
MCP Weather Scraper's Main Use Cases & Applications
- Real-time weather monitoring applications
- Integration into weather-focused mobile or web apps
- Data analysis for meteorological research
- Automated weather reports generation
- Research projects on web scraping and AI data interpretation
FAQs of MCP Weather Scraper
Developer
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