An MCP server to query and interact with Kubernetes environments monitored by Metoro, integrating Kubernetes monitoring with MCP.
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Kubernetes MCP Server is an MCP solution that lets LLMs manage, monitor, and interact with Kubernetes clusters for AI-assisted cloud infrastructure management.
Typescript implementation of an MCP server for Kubernetes cluster operations, including pods, deployments, and services management.
A robust MCP server that enables AI assistants to securely execute Kubernetes CLI commands (kubectl, helm, istioctl, argocd) using Unix pipes in a Docker environment.
An MCP server for managing Kubernetes clusters, allowing listing, creating, updating, and deleting Kubernetes resources through Model Context Protocol.
A powerful MCP server for Kubernetes and OpenShift, supporting CRUD operations for any Kubernetes resource and specialized cluster interaction tools.
AI-driven Kubernetes resource management MCP server, allowing natural language interaction with any Kubernetes resource, including CRDs.
Metoro MCP Server is an implementation of the Model Context Protocol (MCP) that allows users to query and interact with Kubernetes environments monitored by Metoro. It serves as a bridge between LLM-powered applications (such as the Claude Desktop App) and the deep observability data collected by Metoro's eBPF-based instrumentation for Kubernetes clusters.
No pricing information is provided. The project is open source and available under the MIT license.
cloud-devops-mcp-servers
kubernetes, monitoring, cloud-native, integration