"Firebase: Google's Backend-as-a-Service Platform" matching MCP servers:

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.

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

Provides secure access to containerized build environments for software projects, enabling AI assistants to execute builds, run tests, manage git operations, and inspect build artifacts without requiring local installation of dependencies.

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

Enables container orchestration on the local Docker daemon, allowing management of jobs and services via MCP tools.

Gives AI assistants full control over a VPS via SSH, enabling command execution, file management, service control, Docker and firewall management.

Provides a secure MCP interface to execute commands inside Docker Compose service containers, with real-time output capture and configurable timeouts.

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.

Lets AI agents inspect Kubernetes clusters in plain English, exposing read-only tools for pods, deployments, services, events, and logs, with mock and real backend support.

A Python-based Model Context Protocol server that enables managing Proxmox virtualization platform through Cursor IDE, supporting complete VM lifecycle management including creation, power control, and deletion.

Exposes Proxmox VE hosts as MCP tools for inventory, status, and VM/container management, running as a standalone Streamable HTTP service.

Enables LLMs to dynamically orchestrate containerized application deployments to a Kubernetes cluster, handling configuration validation, manifest generation, dry-run planning, and service endpoint extraction.

Provides comprehensive management of TrueNAS SCALE instances through 278 actions across 18 categories using a token-efficient hierarchical tool design. Users can perform tasks like storage management, service configuration, and system monitoring while benefiting from built-in safety confirmations and read-only dashboard resources.

A middleware service that allows LLMs and AI assistants to directly interact with the Dokploy platform through a standardized interface, providing access to Docker, project, and application management capabilities.

A management service that orchestrates multiple server processes organized into logical sections, providing centralized control for starting, stopping, and monitoring servers with support for containerization.

A demonstration MCP server that simulates server management actions for Contabo and Hetzner using FastAPI. It provides a mock environment for testing request routing and provider-based service modules without requiring live API credentials.

A powerful integration server that combines Netbox's network infrastructure management capabilities with MCP (Multi-Cloud Platform) functionality.

Enables AI agents to query build/deploy status and request operations on a self-hosted Docker/Compose deployment platform, with Observer and Operator skills and approval-based write actions.

Provides tools for interacting with Azure services including Storage, Virtual Machines, and App Service operations.

Enables monitoring and management of Azure resources including Virtual Machines (VMs) and Virtual Machine Scale Sets (VMSS) through a RESTful API with secure Service Principal authentication.