"Grafana: A Platform for Monitoring and Observability" matching MCP servers:

Enables deploying multiple isolated Odoo MCP connector containers from a single shared codebase, each with its own configuration and credentials for different clients.

MCP server for the Agent Platform API, enabling management of sandbox environments through MCP protocol. Exposes tools to interact with sandbox lifecycle operations such as start, stop, and status checks.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

A VMware ESXi/vCenter management server based on MCP (Machine Control Protocol), providing simple REST API interfaces for virtual machine management.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.

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.

Read-only observability MCP for Windows, WSL, Docker, and WSLC.

Connects AI agents to microsandbox for creating lightweight sandboxes, executing code, managing files, and monitoring resources.

MCP server for VMware vSphere infrastructure management, enabling VM operations, monitoring, and network discovery.

MCP server for ABB RobotStudio and robot controllers, exposing 55 tools via SDK and RWS transports for simulation, programming, and monitoring.

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.

Enables interaction with Redfish-compliant BMC devices for server management, firmware updates, and hardware monitoring through session-based authentication and standardized API endpoints.

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.

Enables monitoring of Ubuntu system metrics, Docker containers, and public IP drift, with Feishu alerting and HTTP/MCP tools for querying status, viewing history, and restarting containers.

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.

MCP server giving AI assistants full control of a Proxmox homelab, enabling management of VMs, containers, Docker projects, media stack, and monitoring via natural language.

Enables comprehensive management of Proxmox virtualization environments, including VM and container lifecycle, snapshots, backups, monitoring, and OpenAPI integration.

Enables AI agents to manage a homelab by providing tools for Docker, Ollama, and system monitoring through the Model Context Protocol.

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.

Provides unified access to multiple homelab services including Nginx Proxy Manager, Pi-hole, Uptime Kuma, Portainer, and UPS NUT for monitoring, management, and automation through a single modular interface.