Cloud Platforms MCP Repositories

An MCP server implementation for 4EVERLAND Hosting enabling instant deployment of AI-generated code to decentralized storage networks like Greenfield, IPFS, and Arweave.

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

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.

An SSE-conformant MCP intermediary for interacting with OCI artifact repositories, designed to expose container image metadata and structure to large language models.

A robust mechanism to securely bridge AI agents with Amazon Web Services (AWS) environments utilizing AWS IAM Identity Center (SSO). This tool facilitates credential retrieval, account/role enumeration, and secured execution of arbitrary AWS CLI operations via temporary session tokens.

upload and manipulation of IPFS storage

A highly optimized, secure daemon facilitating secure execution of Google Cloud SDK (gcloud) operations via the Model Context Protocol (MCP), operating within isolated, multi-arch container environments.

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.

An MCP endpoint facilitating AI-driven management and interaction with resources across Alibaba Cloud ecosystems, encompassing core services like Elastic Compute Service (ECS), Cloud Monitor, Operations Orchestration Service (OOS), and numerous other widely adopted offerings.

A collection of specialized server components facilitating Model Context Protocol (MCP) interoperability within the Amazon Web Services (AWS) cloud ecosystem. These tools bridge the gap between large language models and specific AWS resources, enhancing AI-driven cloud platform interactions, similar to how Google Cloud Platform (GCP) integrates its infrastructure services for its user-facing products.

A control plane server leveraging the Model Control Protocol (MCP) for streamlined administration of VMware ESXi and vCenter environments, exposing a simplified, programmatic RESTful interface for virtual machine orchestration.

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

Open source podcast hosting platform

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.

Official Espressif RainMaker interface server supporting Model Context Protocol interactions.

Typescript implementation of Kubernetes cluster operations for pods, deployments, services.

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.

An abstraction layer built atop the Azure Command Line Interface, enabling direct interaction with Azure services via the Model Context Protocol (MCP).

A comprehensive Model Context Protocol (MCP) service designed to furnish complete programmatic access to every facet of the Netskope Private Access (NPA) environment, including exhaustive configuration blueprints, operational procedures, and illustrative large language model interaction examples.

A server implementation for Kestra's Metadata & Control Plane (MCP) utilizing Python, designed for integration with workflow orchestration capabilities.

Create, modify, and delete different aspects of [Liveblocks](https://liveblocks.io) such as rooms, threads, comments, notifications, and more. Additionally, it has read access to Storage and Yjs.

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 Terraform MCP server allowing AI assistants to manage and operate Terraform environments, enabling reading configurations, analyzing plans, applying configurations, and managing Terraform state.

OpenStack MCP server for cloud infrastructure management based on openstacksdk.

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.

MCP server for interacting with Pulumi using the Pulumi Automation API and Pulumi Cloud API. Enables MCP clients to perform Pulumi operations like retrieving package information, previewing changes, deploying updates, and retrieving stack outputs programmatically.

Bridge implementation for the Model Context Protocol targeting the PythonAnywhere cloud hosting environment.

A MCP built on Qiniu Cloud products, supporting access to Qiniu Cloud Storage, media processing services, etc.

Facilitate comprehensive administration of your Redis Cloud tenancy using intuitive, natural language directives. Provision data stores, inspect service entitlements, and fine-tune infrastructure deployments via simple conversational inputs.