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MCP Weather Server 🌤️

@janhavihood4

リポジトリ

MCP Weather Server 🌤️ について

概要はまだありません

基本情報

カテゴリ

推論

ランタイム

python

トランスポート

stdio

公開者

janhavihood4

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from MCP Weather Server

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.

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