Kubernetes Tools — MCP Servers

Overview

Provides a comprehensive suite of Python functions and an MCP server for interacting with Kubernetes clusters, primarily for building intelligent agents. This MCP server integrates with the Model Context Protocol to provide AI agents and applications with structured access to Kubernetes Tools's capabilities. The server enables seamless interaction between LLMs and the underlying services through standardized protocols. Key integration points include: - Direct API access through MCP tools - Structured data exchange with AI agents - Real-time interaction capabilities - Standardized protocol compliance The server is designed to work with popular MCP clients like Claude Desktop, Cursor, and other AI development environments.

Key Features

Use Cases