"Improving the Intelligence of Large Language Models" matching MCP servers:

Enables AI models to manage Docker containers, images, networks, and volumes through the Portainer API, providing comprehensive container orchestration capabilities.

Enables management of Proxmox VE infrastructure through natural language, providing 120+ tools to control virtual machines, containers, storage, cluster resources, users, and network configurations via the Proxmox API.

Enables management of homelab infrastructure, including Docker/Podman containers, Ollama AI models, Pi-hole DNS, Unifi networks, and Ansible inventory, with built-in security checks and automated pre-push validation.

A safety-gated, local stdio MCP server for the Proxmox VE API, enabling the management of VMs, containers, storage, and tasks through natural language via MCP hosts.

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.

A Model Control Protocol server implementation that allows Claude Desktop to use Deepseek models running in Docker, enabling seamless integration between Claude Desktop and Deepseek's language models.

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.

Enables AI models to securely query and manage virtual machines and virtualized resources via the libvirt API through the Model Context Protocol.

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.

Facilitates isolated code execution within Docker containers, enabling secure multi-language script execution and integration with language models like Claude via the Model Context Protocol.

MCP server for VMware vSphere/vCenter operations, enabling natural language control of VMs, hosts, and infrastructure.

An MCP server for interacting with the Proxmox Virtual Environment API, enabling management of VMs, containers, storage, and cluster resources through natural language.

Enables advanced management of Kubernetes clusters through natural language interactions. Supports querying, managing, and monitoring pods, deployments, nodes, and logs across multiple contexts and namespaces.

Connects AI assistants to Linode cloud infrastructure, enabling the management of compute instances, databases, and networking resources through natural language. It provides a comprehensive suite of tools for resource orchestration, monitoring, and account management using stdio, SSE, or HTTP transports.

An MCP server that enables Large Language Models or other MCP clients to interact with Ansys/AGI STK (Systems Tool Kit), allowing users to control STK Desktop simulations programmatically or via natural language.

Enables natural-language management of Docker containers, images, volumes, and networks, with autonomous diagnosis and remediation of container failures through a multi-agent system.

An Model Context Protocol server that lets language models directly manage and visualize Kubernetes clusters through safe, high-level operational tools.

MCP server to interact with Foreman (Red Hat Satellite) instances, enabling management of hosts, provisioning, and configuration via natural language.

Enables control and manipulation of Resonite VR worlds through the ResoniteLink WebSocket protocol. Supports slot management, component operations, and world object creation/modification through natural language.

MCP server for IBM Z Hardware Management Console Web Services API integration with Bob AI, enabling management of HMC systems and partitions through natural language.