Cloud Platforms MCP Repositories

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.

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Golang implementation of the Model Context Protocol (MCP) server facilitating interaction with Kubernetes clusters.

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

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

Open source podcast hosting platform

A server implemented in Go designed to facilitate interaction between Large Language Models (LLMs) utilizing the Model Context Protocol (MCP) and backend resources managed via Nutanix Prism Central (PC).

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.

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

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

Official Espressif RainMaker interface server supporting Model Context Protocol interactions.

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.

An implementation of the Model Context Protocol (MCP) acting as a secure intermediary, allowing advanced generative AI agents (e.g., Claude, Cursor) to issue sophisticated, natural-language-driven commands against live Kubernetes environments.

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

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

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 to memorize complex commands - just describe your needs, and AI will accurately execute the corresponding cluster operations, greatly enhancing the usability of Kubernetes.

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.

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

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.

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.

upload and manipulation of IPFS storage

MCP Server for kubernetes management, and analyze your cluster, application health

OpenStack MCP server for cloud infrastructure management based on openstacksdk.

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 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.

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.

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.

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