Weather Israel
Provides weather information retrieval for Israeli cities by integrating Google Gemini to process user queries, select MCP tools, and generate answers based on extracted web content.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Weather Israelwhat's the weather in Tel Aviv?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AI Weather Agent with MCP, Gemini and Playwright
Overview
This project implements an AI Agent that retrieves current weather information for cities in Israel using the Model Context Protocol (MCP), Google Gemini, and Playwright.
When the user asks for the weather in a city, the agent opens a weather website, searches for the requested city, extracts the weather information from the page, and returns an answer based on the website's content.
The project also includes a simple retrieval step, where the weather information is extracted from the web page and provided to the language model as additional context before generating the final response.
Related MCP server: Israel Weather MCP Agent
Technologies
Python
Google Gemini API
MCP (Model Context Protocol)
Playwright
AsyncIO
python-dotenv
Project Structure
host.py # Main chat application
client.py # MCP client
weather_Israel.py # MCP weather server
README.md
requirements.txtHow It Works
The user asks for the weather in an Israeli city.
Gemini selects the appropriate MCP tools.
Playwright opens the weather website.
The requested city is entered into the search box.
The city is selected from the autocomplete list.
The weather page is loaded.
The weather information is extracted from the page.
The extracted text is returned to Gemini.
Gemini generates the final answer using the extracted information.
Features
Supports weather queries for cities in Israel.
Accepts city names in Hebrew or English.
Uses Playwright to navigate a live weather website.
Extracts weather information directly from the website.
Provides the extracted content to the language model before answering.
Uses the website content instead of relying on the model's internal knowledge.
Installation
Clone the repository:
git clone https://github.com/YisNiz/AI-MCP-with-RAG-projectInstall the required packages:
pip install -r requirements.txtCreate a .env file containing:
GEMINI_API_KEY=YOUR_API_KEYInstall Playwright browsers:
playwright installRun the project:
python host.pyExample Questions
What is the weather in Jerusalem?
Weather in Tel Aviv
מזג האוויר בחיפה
מה מזג האוויר בבאר שבע?
Notes
The weather information is retrieved from a live weather website.
The language model is instructed to answer using the extracted website content.
The project demonstrates the integration of an LLM with MCP tools and browser automation.
Author
Yisca Nazri
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