"Adding functionality to large language models" matching MCP servers:

Provides programmatic access to Xcode functionality, enabling AI assistants to create, build, test, and manage iOS/macOS projects directly.

Exposes Arrakis VM sandbox functionality to LLMs, enabling sandbox management and command execution.

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.

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

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.

A configurable server implementation that provides MCP (Model-Controller-Protocol) functionality, supporting both Node.js and Docker environments with automated setup and configuration options.

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.

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

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

Enables comprehensive management of Proxmox virtualization infrastructure through natural language, supporting VM/LXC lifecycle operations, networking, snapshots, backups, metrics monitoring, and cluster orchestration. Provides full access to Proxmox API functionality including resource discovery, cloud-init configuration, and automated deployment workflows.

Connects Claude Desktop to any Kubernetes cluster, enabling natural language queries for diagnostics and operations such as listing pods, viewing logs, scaling deployments, and more.

AI-powered VMware vCenter/ESXi monitoring and operations. 20 MCP tools for inventory queries, health monitoring, VM lifecycle management, fast provisioning (Linked Clone, OVA, template deploy), snapshot management, and datastore browsing. Supports vSphere 6.5–8.0. Works with local models via Ollama/LM Studio.

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.

MCP server that wraps the vmm-api CLI to enable listing and managing VMM network topologies through natural language.

Enables querying local MySQL databases and managing Docker containers (listing, logs) through natural language via the Model Context Protocol.

Enables managing DigitalOcean cloud resources, including Droplets, databases, domains, and more, via natural language.

Provides tools to list, create, power on/off, and delete VMs on vCenter or ESXi hosts using natural language.

Enables natural language interaction with Proxmox VE clusters for managing VMs, containers, storage, and snapshots.

MCP server for managing Business Central Docker containers, enabling AI assistants to list, create, test, and manage BC sandboxes via natural language.

Control and automate FlexSim simulations through AI assistants like Claude, enabling manufacturing and warehouse digital twin analysis, parameter studies, and real-time model manipulation via tools for opening models, running simulations, evaluating FlexScript, and exporting results.