"Monitor GitLab notifications and respond to mentions" matching MCP servers:

Read-only VMware vCenter/ESXi monitoring. 8 MCP tools for VM inventory, host status, datastore capacity, cluster info, alarms, events, and VM details. Code-level enforced safety — no destructive operations exist in the codebase. Supports vSphere 6.5–8.0. Works with local models via Ollama/LM Studio.

Enables MCP-compatible AI assistants to inspect and manage local or remote servers in plain language, covering system health, Docker containers, services, ports, disks, scoped files, and read-only database queries over key-only SSH. Write actions such as container restarts, file edits, and allowlisted dev commands require client approval.

Read-only MCP server that allows AI assistants to query and monitor KVM Fleet devices, audit logs, and console sessions through the official REST API.

Enables LLM agents to monitor and manage a Proxmox VE cluster, including cluster status, VM/container lifecycle, and node actions via MCP tools.

Enables Claude to monitor and manage homelab infrastructure including Docker containers, OPNsense firewall, and TrueNAS storage with configurable capability levels from read-only monitoring to full management control.

Monitor and manage a Synology DSM 7 NAS from any MCP client — and build live dashboards right inside the chat.

Enables AI assistants to manage and monitor VergeOS virtualization platforms through natural language, including VM operations, network management, tenant administration, and cluster monitoring.

Enables control and management of Coolify self-hosted PaaS instances, allowing you to deploy applications, manage databases, monitor servers, and execute operations directly from AI assistants.

Enables AI agents and LLMs to control and monitor Redfish-enabled hardware through power operations, system inventory, event logs, health monitoring, sensor readings, and user account management.

Enables local MCP access to attach to isolated backend environments, monitor runtime health/logs, check security posture, manage snapshots and diffs, audit events, and view sanitized remote inventory.

Enables AI assistants to manage Docker containers, deploy stacks, and monitor services across multiple Docker hosts from one centralized location. Supports container lifecycle management, Docker Compose operations, and infrastructure orchestration through natural language commands.

Enables AI assistants to monitor and analyze Proxmox VE virtualization environments via the MCP protocol.

A Model Context Protocol server for managing Virtualbox and Vagrant virtual machines via a TypeScript interface. It enables users to programmatically create new VMs and monitor their status through simple JSON-RPC tools.

Enables Google Gemini and any MCP-compatible client to securely monitor and manage hypervisor guests — starting, stopping, rebooting, snapshotting, rolling back, and backing up VMs and containers — through the Model Context Protocol over Streamable HTTP with OAuth 2.0/OIDC authentication.

Enables LLMs to manage and monitor Hetzner Cloud infrastructure, including servers, firewalls, networks, and snapshots, while keeping the API token local and secure.

A powerful, lightweight Model Context Protocol (MCP) server built in Python that enables Artificial Intelligence assistants (Claude Desktop, Cursor, Antigravity, Claude Code, etc.) to manage and monitor your Proxmox VE cluster using natural language.

MCP server for Proxmox VE: monitor and manage your cluster, VMs, containers, storage and backups from Claude and other AI assisInstants. Runs in docker.

Enables AI assistants to monitor and manage Proxmox VE infrastructure, including nodes, VMs, containers, storage, backups, and networking, via natural language.

Enables management of AutoDL GPU resources including instance lifecycle, balance queries, elastic deployments, and notifications through typed MCP tools.

MCP servers for managing homelab infrastructure. Monitor Docker/Podman containers, Ollama AI models, Pi-hole DNS, Unifi networks, and Ansible inventory.