# Cluster management

k8s_pilot is a lightweight centralized management and control plane for multiple Kubernetes clusters, supporting multi-cluster context switching, resource CRUD operations, and namespace management. It is integrated with Claude AI through the MCP protocol.

A Kubernetes cluster management server based on the MCP protocol, supporting interaction with the Kubernetes cluster through the command line or chat interface, providing functions such as resource management and Helm chart operations.

An experimental Kubernetes MCP server that exposes Kubernetes functionality to AI chat interfaces via kubectl, enabling AI assistants to help analyze and manage cluster resources.

A MongoDB Atlas management tool that provides MCP interface management for clusters, users, and network access

Implementation of the Elasticsearch MCP server, providing index operations, document search, and cluster management functions, supporting interaction with Elasticsearch through natural language.

The Hydrolix MCP Server is a tool for executing SQL queries and database management, supporting interaction with Hydrolix clusters.

The Databricks MCP Server is a service based on the MCP protocol that allows LLM tools to interact with the Databricks platform, providing management functions for clusters, jobs, notebooks, etc.

mcp - kubernetes - server is an MCP protocol server that serves as a bridge between AI assistants and Kubernetes clusters, enabling Kubernetes operations through natural language interaction.

The Kubernetes MCP Server is a server based on the Model Context Protocol. It provides seamless integration with the Kubernetes API, supports interacting with Kubernetes clusters through natural language, and realizes functions such as resource query, monitoring, and operation.

The Kubernetes MCP Server is a powerful implementation of the Kubernetes model context protocol, supporting operations on Kubernetes and OpenShift clusters. It can perform various resource management tasks without relying on external tools.