Cloud Infrastructure MCPサーバー

MSGraph Connector

Retrieves user profiles from Microsoft Graph using the Model Context Protocol (MCP).

Google Cloud

Provides a Model Context Protocol (MCP) server for seamless interaction with Google Cloud services like Logging, Spanner, Monitoring, and Cloud Trace.

Daisy

Serves Google Cloud Datastore with simple query and management capabilities via the Model Context Protocol (MCP).

Gospel Library

Deploys an authentication-free remote Model Context Protocol server on Cloudflare Workers for AI agent integration.

AI VPN

Orchestrates VPN infrastructure, enabling AI agents to programmatically provision and manage network tunnels.

Google Drive

Enables AI systems to interact with Google Drive for file and folder management.

Croit Ceph

Manages Croit Ceph clusters by dynamically generating tools from their OpenAPI specifications, optimizing for AI interaction.

Google Cloud Healthcare API

Provides a Model Context Protocol (MCP) server for healthcare tools, facilitating interaction with FHIR resources on Google Cloud Healthcare API and public medical research APIs.

Proxmox

Manages Proxmox Virtual Environment via its API, offering a comprehensive suite of tools for VMs, containers, storage, and cluster operations.

IBM Cloud CLI

Integrates the IBM Cloud CLI with Claude Code, providing over 80 tools for managing a wide range of IBM Cloud services and operations.

Code Sandbox

Execute Python code and shell commands in secure cloud sandboxes for various applications.

Contree

Provides secure, sandboxed cloud container environments for AI agents to execute code with full root access, networking, and persistent images.

Whats New

Fetches AWS What's New announcements by month through an MCP server.

OpenCollective Hetzner

Provides AI agents programmatic access to OpenCollective, Hetzner Cloud, and Cloudflare for automated financial management and bookkeeping.

Spotify Ops-Ready

Deploys an MCP server that exposes Spotify and Last.fm tools to Azure Container Apps using Terraform.

Hetzner

Manage Hetzner Cloud resources such as servers, networks, volumes, and load balancers through the Model Context Protocol.

Kubeflow

Exposes Kubeflow training operations as tools, enabling AI assistants to manage distributed model training on Kubernetes through natural conversation.

Dockhand

Exposes over 130 Dockhand API endpoints as MCP tools, enabling AI assistants to manage Docker infrastructure programmatically.

K8s AI

Manages AI workloads on Kubernetes using GitOps principles for diverse inference services and development environments.

Crossplane

Enables AI agents to declaratively manage cloud infrastructure via Kubernetes using Crossplane.