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Kopilot-MCP-test

Kopilot-MCP-test

3.1

If you are the rightful owner of Kopilot-MCP-test and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

Kopilot MCP is a remake of a previous project, designed to create an AI Kubernetes agent using the Model Context Protocol (MCP).

Kopilot MCP is a sophisticated tool that leverages the Model Context Protocol to create an AI-driven Kubernetes agent. This project allows users to interact with Kubernetes resources using natural language, making it easier to manage and operate Kubernetes clusters. By customizing the LLM provider, users can perform commands similar to 'kubectl' through natural language queries. The project is built on a robust tech stack including Dynaconf, Kubernetes Python client, LangChain, Loguru, and OpenAI. It aims to standardize tool calling using MCP, providing a seamless and intuitive interface for Kubernetes management. The setup requires Python 3.12+, a Kubernetes cluster, and an API key from an LLM provider. Once set up, users can run the MCP client, which automatically starts the MCP server, and begin interacting with their Kubernetes resources through simple queries.

Features

Create an AI Kubernetes agent using MCP.
Interact with Kubernetes resources using natural language.
Customize LLM provider to perform 'kubectl-like' commands.
Learn how to use MCP to standardize tool calling.

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