MCP Weather Server

@janhavihood4

Repository

Basic information

About MCP Weather Server

No overview available yet

MCP Weather Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP Weather Server tools

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Overview

What is MCP Weather Server?

The MCP Weather Server is an AutoGen-based Model Context Protocol (MCP) server that uses Gemini 1.5 via an OpenAI-compatible API to respond to weather queries. It retrieves weather forecasts by latitude and longitude and integrates with AutoGen’s multi-agent GroupChat system, involving User, Assistant, and a Weather agent.

How to use MCP Weather Server?

Install the required dependencies with pip install -r requirements.txt, then run the server using python autogen.py.

Key features of MCP Weather Server

Weather forecasting by location using latitude/longitude
AutoGen GroupChat with User, Assistant, and Weather agent
Uses Gemini 1.5 through an OpenAI-compatible API

Use cases of MCP Weather Server

Building a conversational weather assistant that coordinates with multiple AI agents
Integrating real-time weather forecasts into multi-agent AutoGen workflows
Demonstrating how to route location-based queries to a dedicated agent in a group chat

Frequently asked questions

What models or APIs does it require?

It uses Gemini 1.5 through an OpenAI-compatible API.

How is the weather data retrieved?

The server retrieves weather forecasts based on latitude and longitude coordinates provided in the query.

What agents are involved in the group chat?

The AutoGen GroupChat includes a User agent, an Assistant agent, and a Weather agent.

What are the installation steps?

Run `pip install -r requirements.txt` to install dependencies, then execute `python autogen.py` to start the server.

Comments

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