Weather MCP Server
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 MCP Serverwhat'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.
⛅ Weather MCP Server
Protocol: MCP | Python 3.11+ | License: MIT | Status: Active ✅
A robust project implementing the Model Context Protocol (MCP) architecture — an autonomous LLM-powered agent capable of fetching up-to-date weather forecasts for cities in Israel and the United States, providing seamless natural language responses in a terminal chat interface.
Project Overview
This project extends LLM capabilities by granting access to external data sources that are not natively available: retrieving live forecasts from sites that lack an official public API.
The system bridges this gap using two complementary retrieval engines:
# | Information Source | Mechanism & Technical Description |
1 | Israel Server ( | Browser Automation (Playwright): Launches a headless browser instance navigating to |
2 | USA Server ( | Official API REST Calls: A lightweight server executing direct REST requests against the official National Weather Service (NWS) API. |
The Host layer orchestrates the flow: connecting servers to the language model, dynamically exposing available tools, and managing the conversation loop until the model yields an accurate response.
Workflow Architecture
User: "What's the weather in Tel Aviv?"
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Host ◄──► LLM autonomously selects and executes tools
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Israel Server (Sequential pipeline):
open ──► enter("Tel Aviv") ──► select ──► get_content
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Content analysis (RAG) by LLM
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✨ Final response generated in natural languageThis server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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