Cloud Platforms MCP Repositories

A Model Context Protocol (MCP) agent designed to facilitate bidirectional interaction with live Kubernetes clusters. It exposes standardized interfaces for resource introspection, state retrieval (logs, metrics), configuration management (create/update/delete), and advanced operational tooling like rolling restarts, all secured via non-root execution contexts.

A lightweight yet robust server that empowers AI assistants to securely execute Kubernetes CLI commands (`kubectl`, `helm`, `istioctl`, and `argocd`) using Unix pipes in a safe Docker environment with multi-architecture support.

A specialized Model Context Protocol (MCP) serving agent engineered for seamless, LLM-driven interaction with active Kubernetes environments. This utility exposes essential Kubernetes API functionalities—such as resource introspection, state retrieval, and declarative configuration deployment—via the standardized MCP layer.

Exposes the complete feature set of the NebulaBlock API via accessible tools by utilizing the high-speed 'fastmcp' integration library.

An implementation of the Model Context Protocol (MCP) server specifically tailored for interaction with Azure Data Lake Storage Gen2. This service facilitates comprehensive management of storage containers alongside robust capabilities for file ingress, egress, modification, and attribute inspection within those containers.

A Model Context Protocol (MCP) facilitator embedded within a Cyclops server instance, enabling autonomous agents to manipulate Kubernetes deployments via high-level module constructs.

powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for **any** Kubernetes resource, this server provides specialized tools to interact with your cluster.

A dedicated MCP intermediary for administering and diagnosing Certificate Authority resources managed by the cert-manager system within Kubernetes.

A robust intermediary server facilitating natural language interaction between sophisticated AI agents and Portainer environments, granting conversational control over container orchestration, deployment workflows, and system telemetry oversight.