Cloud platform service integration. Enables management and interaction with cloud infrastructure and services.
An MCP server that allows AI agents to manage Kubernetes resources through Cyclops abstraction
MCP Server for Azure Data Lake Storage. It can perform manage containers, read/write/upload/download operations on container files and manage file metadata.
A Model Context Protocol server for querying and analyzing Azure resources at scale using Azure Resource Graph, enabling AI assistants to explore and monitor Azure infrastructure.
A wrapper around the Azure CLI command line that allows you to talk directly to Azure
An MCP to give access to all Netskope Private Access components within a Netskope Private Access environments including detailed setup information and LLM examples on usage.
integrates with the fastmcp library to expose the full range of NebulaBlock API functionalities as accessible tools
A Terraform MCP server allowing AI assistants to manage and operate Terraform environments, enabling reading configurations, analyzing plans, applying configurations, and managing Terraform state.
A powerful MCP server that enables AI assistants to seamlessly interact with Portainer instances, providing natural language access to container management, deployment operations, and infrastructure monitoring capabilities.
MCP server implementation for PythonAnywhere cloud platform.
A Kubernetes Model Context Protocol (MCP) server that provides tools for interacting with Kubernetes clusters through a standardized interface, including API resource discovery, resource management, pod logs, metrics, and events.
A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language.
MCP-K8S is an AI-driven Kubernetes resource management tool that allows users to operate any resources in Kubernetes clusters through natural language interaction, including native resources (like Deployment, Service) and custom resources (CRD). No need t
MKP is a Model Context Protocol (MCP) server for Kubernetes that allows LLM-powered applications to interact with Kubernetes clusters. It provides tools for listing and applying Kubernetes resources through the MCP protocol.
An SSE-based MCP server that allows LLM-powered applications to interact with OCI registries. It provides tools for retrieving information about container images, listing tags, and more.
Go-based MCP Server for interfacing with Nutanix Prism Central resources.
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This is an MCP server used for querying books, and it can be applied in common MCP clients, such as Cherry Studio.
Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.
Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.
MCP Server for kubernetes management, and analyze your cluster, application health