MCP

Created By

Abhinavexistsa year ago

A Simple Implementation of the Model Context Protocol

Overview

What is MCP?

MCP is a simple implementation of a command-line tool that provides access to US weather data through a client-server architecture using the Model Context Protocol (MCP) and Google's Gemini AI.

How to use MCP?

To use MCP, clone the repository, install the necessary dependencies, and run the client to connect to the weather server. You can then query weather information using natural language.

Key features of MCP?

Query weather alerts for US states using state codes.
Get detailed weather forecasts for specific locations using latitude and longitude.
Natural language interface powered by Google's Gemini AI.
Client-server architecture using Model Context Protocol (MCP).

Use cases of MCP?

Fetching current weather alerts for specific US states.
Retrieving weather forecasts for specific geographic coordinates.
Utilizing natural language queries to interact with weather data.

FAQ from MCP?

What programming languages are used in MCP?

MCP is primarily built using Python.

Do I need an API key to use MCP?

Yes, you need a Google Gemini API key to access the natural language features.

Is MCP open source?

Yes, MCP is available under the MIT License.

Project Info

Created At

a year ago

Updated At

a year ago

Author Name

Abhinavexists

Star

Language

Python

License

MIT license

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