Skip to main content
Glama
76,557 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"Resources or tools for conducting in-depth research" matching MCP servers:

  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides Docker management tools for AI agents, including inspecting containers, images, Dockerfiles, and Compose configurations.
    41
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to manage Coolify infrastructure including servers, applications, databases, deployments, and 80+ one-click services through 98 comprehensive tools for both cloud and self-hosted instances.
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Governed XCP-ng operations via Xen Orchestra REST — VM-health, SR-usage, backup-failure, and patch-state RCA, with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.
    29
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    AI-powered Veeam Backup & Replication operations MCP server with tools for managing jobs, restores, sessions, and repositories, featuring built-in governance, audit logging, and safety controls.
    25
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Governed AI-ops MCP server for Nutanix Prism Central v4 REST API, offering 47 read/write tools for clusters, VMs, storage, network, catalog, data protection, alerts, and LCM upgrades with built-in audit, budget, and risk-tier governance.
    51
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.
    3
  • F
    license
    A
    quality
    D
    maintenance
    A Model Context Protocol server for conducting Linux binary analysis and guest system forensics within QEMU virtual machines. It enables automated VM lifecycle management, memory dumping, and interactive debugging workflows for analyzing processes and artifacts.
    22
    2
  • A
    license
    B
    quality
    D
    maintenance
    Enables AI assistants to interact with Kubernetes clusters through 50 specialized tools for comprehensive cluster management. Supports both local kubectl and remote SSH-based execution for managing pods, deployments, services, and other Kubernetes resources.
    49
    MIT
  • A
    license
    C
    quality
    D
    maintenance
    A high-performance server that enables integration between Apache CloudStack infrastructure and AI assistants through the Model Context Protocol, providing comprehensive tools for managing virtual machines, storage, networking, and other cloud resources.
    45
    6
    MIT
  • A
    license
    Not graded
    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
  • A
    license
    Not graded
    quality
    D
    maintenance
    A Model Context Protocol server that provides tools for interacting with Docker images, containers, and registries, enabling AI assistants to search, analyze, and manage Docker resources through a standardized interface.
    1
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    An MCP server for Kvindo Cloud that lets AI clients list, inspect, create, update, and delete cloud resources (VMs, volumes, Kubernetes, etc.) via natural language. Read-only by default, with write/delete operations gated by explicit opt-in environment variables.
    257
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A lightweight MCP server that enables natural language interaction with Kubernetes clusters, allowing management of pods, deployments, namespaces, and cluster resources through conversational queries or API endpoints.
    1
    MIT