About MCP Weather Server 🌤️
MCP Weather Server is an AutoGen-based weather server that answers location-based queries using latitude and longitude. It retrieves forecasts and connects a weather agent with AutoGen's multi-agent GroupChat using Gemini 1.5 through an OpenAI-compatible API.
Key features
- 01Weather forecasts by latitude and longitude
- 02AutoGen multi-agent GroupChat
- 03Gemini 1.5 through an OpenAI-compatible API
Use cases
- 01Retrieve a forecast for a location
- 02Include weather in an AutoGen multi-agent conversation
MCP support
The project is described as an MCP Weather Server, but the README does not specify MCP tools or transport details.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Weather Server 🌤️
This project is an AutoGen-based MCP Weather Server using Gemini 1.5 through OpenAI-compatible API. It responds to weather queries using latitude and longitude data, retrieves weather forecasts, and integrates with AutoGen's multi-agent system.
Features
- Weather forecasting by location
- AutoGen GroupChat with User, Assistant, and Weather agent
- Uses Gemini API
Setup
pip install -r requirements.txt
python autogen.py
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.