"Building a Sequencer with Arduino in C++ and Enhancing Performance" matching MCP servers:

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

An MCP server for managing standalone Cisco C-Series rack servers through the Cisco Integrated Management Controller (CIMC) XML API. It provides 16 tools for server lifecycle management, including power control, hardware health monitoring, and BIOS configuration.

A template MCP server that provides a basic structure and configuration for building Model Context Protocol servers. Includes Docker support, environment configuration, and examples for both STDIO and SSE transport modes.

A high-performance server that enables integration between Apache CloudStack infrastructure and AI assistants through the Model Context Protocol, providing comprehensive tools for managing virtual machines, storage, networking, and other cloud resources.

Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.

Enables building, deploying, and verifying containerlab network topologies on macOS from plain-English descriptions.

Enables VMware vCenter management via MCP, adding real-time and historical performance monitoring, VM lifecycle operations, snapshots, ISO mounting, and network/host management through natural language.

Enables comprehensive benchmarking and performance monitoring of OpenShift clusters using OVN-Kubernetes networking through automated data collection, AI-powered analysis, and report generation. Provides intelligent insights into cluster performance, bottleneck detection, and optimization recommendations.

Enables AI agents to manage VMware vSphere virtual infrastructure through comprehensive operations including VM power control, snapshot management, resource monitoring, performance analytics, and bulk operations with built-in safety confirmations for destructive actions.

A high-performance MCP execution engine that runs tool code in isolated, resource-constrained sandboxes with context state persistence.

Enables Docker container management and test execution via MCP tools, supporting image building, container operations, and automated test runs.

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.

Enables helpdesk operators to manage Horizon user sessions, restart or log off desktops, monitor pool health, and diagnose performance issues through natural language.

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 code-mode MCP server for the Unraid 7.2+ GraphQL API that exposes search and execute tools, allowing LLM agents to introspect and call any GraphQL field via sandboxed JavaScript.

Enables MCP clients to rent GPUs from ParalonCloud using natural language, including browsing available GPUs, starting and stopping rentals, and retrieving connection URLs.

Enables systematic investigation of VMware errors and events by correlating event timelines, ranking root-cause hypotheses, and suggesting next diagnostic steps.

VMware workflow orchestration — multi-step state machine with approval gates, audit logging, and conditional execution. Coordinates cross-skill workflows like clone-and-test or compliance-scan-and-remediate across the VMware MCP skill family.

An MCP server that gives LLM agents full API access to a VMware Cloud Foundation 9.1 estate, exposing 8,931 operations through eight tools with automatic authentication, async task tracking, and write safety.

Install and manage a self-hosted XNS Relayer — S3-compatible distributed object storage — conversationally over stdio. 15 tools cover prerequisites, account registration, install, claim, health, VPD configuration, S3 verification, CLI credentials, settings, restart, and backups.