Skip to main content
Glama
72,464 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"AWS cloud service monitoring" matching MCP servers:

  • Cloud VM MCP

    sondt2709
    A
    license
    A
    quality
    C
    maintenance
    Manages and views virtual machines across multiple cloud providers (AWS, Azure, Alibaba Cloud). Enables AI assistants to list, inspect, and control VMs through a unified MCP interface.
    6
    MIT

  • Verda Cloud MCP Server

    sniper35
    F
    license
    A
    quality
    D
    maintenance
    Enables management of Verda Cloud GPU instances through Claude, allowing users to deploy spot instances, attach volumes, and monitor status. It supports automated workflows for checking availability and configuring instances with startup scripts.
    20

  • Civo MCP Server

    tao12345666333
    A
    license
    A
    quality
    D
    maintenance
    An MCP server implementation that integrates with the Civo cloud platform API, providing capabilities to manage cloud instances, networks, and Kubernetes clusters.
    19
    19
    3
    MIT

  • Sakura Cloud MCP Server

    hidenorigoto
    A
    license
    B
    quality
    F
    maintenance
    An MCP server implementation that enables AI assistants to interact with and manage Sakura Cloud infrastructure, including servers, disks, networks, and containerized applications.
    46
    10
    11
    ISC

  • hcloud-mcp

    Xodus-CO
    A
    license
    C
    quality
    D
    maintenance
    A Model Context Protocol server for the Hetzner Cloud API that enables natural language management of cloud infrastructure. Users can list, create, and modify servers, networks, volumes, and load balancers through MCP-compatible clients.
    67
    10
    MIT

  • Cloud Manage MCP Server

    rainhan99
    A
    license
    C
    quality
    D
    maintenance
    A Model Context Protocol server for managing cloud servers, particularly DigitalOcean droplets, allowing users to identify providers via IP addresses and perform operations like power management, status monitoring, and resource usage tracking.
    30
    1
    MIT

  • Hetzner Cloud MCP Server —

    wbf-solutions
    A
    license
    -
    quality
    C
    maintenance
    Open-source MCP server for managing Hetzner Cloud infrastructure with two management layers: * Layer 1 — Hetzner Cloud API (35 tools): Server power control, metrics, snapshots, backups, firewalls, DNS zones and records, rescue mode, server rebuild and rescale. Works even when the server OS is unresponsive. * Layer 2 — SSH (25 tools): Service management (systemd), Nginx config and reload,
    MIT

  • VMware_MCP_SERVER

    DanilenkA
    A
    license
    -
    quality
    B
    maintenance
    MCP server that provides AI agents with comprehensive access to VMware vSphere operations, including VM management, monitoring, and vSAN read-only monitoring, through a secure Docker environment.
    Apache 2.0

  • Dokploy MCP Server

    MCP-Mirror
    A
    license
    -
    quality
    -
    maintenance
    Enables AI assistants to manage cloud infrastructure through natural language by providing a unified interface to the Dokploy platform. Supports Docker containers, applications, databases, domains, monitoring, and deployment operations through conversational commands.
    25
    1

  • ProxmoxMCP-Plus

    rodaddy
    A
    license
    -
    quality
    D
    maintenance
    Enables comprehensive management of Proxmox virtualization environments, including VM and container lifecycle, snapshots, backups, monitoring, and OpenAPI integration.
    14
    MIT

  • mcp-kubernetes-server

    STHITAPRAJNAS
    A
    license
    -
    quality
    D
    maintenance
    Enterprise-grade MCP server for Kubernetes operations, supporting local kubeconfig and AWS EKS authentication, with read, write, and destructive operations protected by multi-layer safety guards.
    MIT

  • Vast.ai MCP Server

    CryDevOk
    A
    license
    -
    quality
    D
    maintenance
    Enables comprehensive management of Vast.ai GPU cloud instances, including searching for GPU offers, creating and managing instances, executing remote commands via SSH, and monitoring background tasks for ML training workflows.
    9
    MIT