"A tool for storing and accessing shared memories across multiple Claude.ai users" matching MCP servers:

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 Model Context Protocol server that enables AI assistants to interact with Kubernetes clusters through natural language, supporting core Kubernetes operations, monitoring, security, and diagnostics.

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.

Enables AI assistants to manage Docker/Podman deployments through Komodo, supporting container management, server orchestration, and infrastructure control via natural language.

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.

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.

Enables MCP clients to inspect and operate Kubernetes clusters across multiple contexts, with read-only/read-write/admin access modes and security flags controlling namespaces, contexts, deletes, applies, and exec.

An MCP server for TrueNAS that lets users manage ZFS pools, datasets, shares, snapshots, VMs, alerts, and network configuration through natural language, using a single hierarchical tool exposing 278 actions.

Manage Docker infrastructure across multiple homelab hosts including Unraid, Proxmox, and bare metal servers. Enables container lifecycle management, log retrieval, resource monitoring, and Docker operations across your entire homelab from a single interface.

An MCP server for the Spot.io API that enables management of AWS and Azure Ocean clusters across multiple accounts. It provides tools for cluster inventory, node management, cost analysis, and scaling operations through natural language.

A gateway for Generative AI systems to interact with multiple Kubernetes clusters through Model Context Protocol, enabling comprehensive Kubernetes resource operations and multi-cluster management.

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.

A unified mesh control layer that provides 30 MCP tools for managing distributed infrastructure, enabling AI agents to execute commands, transfer files, and manage Docker containers across multiple nodes. It features persistent SSH2 connection pooling and cross-node configuration synchronization to unify disparate servers into a single interface.

MCP server for Hetzner. Enables managing cloud projects, account resources, and dedicated servers, with the entire REST API reachable through a searchable tool catalog.

A simple MCP server that allows accessing and executing shell commands on a VM machine through a web-based terminal interface, with automatic tunneling to make the VM accessible from anywhere.

Exposes over 130 Dockhand API endpoints as tools to manage Docker infrastructure through AI assistants. It enables comprehensive control over containers, stacks, networks, and volumes across multiple environments and hosts.

Read-only MCP server for querying official dental professional registry data from the Regional Council of Dentistry of Maranhão, Brazil. Enables natural-language lookups via a single consult tool.

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.

A server tool for running Deep Learning models that offers Shell execution, Ngrok connectivity, and Docker container hosting with support for multiple AI frameworks including Anthropic, Gemini, and OpenAI.