"A tool for backtesting trading strategies on historical data and analyzing performance metrics" 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.

A Model Context Protocol server for the resQ emergency response system that integrates with digital twin simulations and coordination engines. It allows users to trigger simulations, generate deployment strategies, and monitor real-time drone status for incident response analysis.

Enables read-only interaction with Proxmox homelab VMs and containers, allowing LLM agents to list VMs, monitor status and performance metrics, view snapshots, and check cluster health through natural language queries.

A Model Context Protocol server for conducting Linux binary analysis and guest system forensics within QEMU virtual machines. It enables automated VM lifecycle management, memory dumping, and interactive debugging workflows for analyzing processes and artifacts.

Enables AI assistants to execute commands on a Proxmox host via SSH with built-in security blocks for destructive operations. It supports key-based authentication and provides a dedicated tool for remote server management tasks like listing virtual machines and containers.

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 monitoring of Ubuntu system metrics, Docker containers, and public IP drift, with Feishu alerting and HTTP/MCP tools for querying status, viewing history, and restarting containers.

Transforms idle LAN machines into a unified compute cluster for AI agents to offload CPU-intensive tasks like simulations and backtesting. It provides a broker-worker architecture that integrates with MCP-compatible tools to distribute workloads across a local network.

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.

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.

MCP server for managing Docker containers, images, networks, volumes, and Compose projects via Arcane, exposing a single 'arcane' tool for read/write operations over stdio or HTTP.

Provides programmatic access to Apple's container CLI tool on macOS, enabling users to perform 50+ container operations including creation, management, and system control of Apple Silicon containers.

Enables read-only inspection of Sangfor HCI/SCP clusters, covering VMs, nodes, storage, networking, snapshots, images, and metrics through MCP tools.

An MCP server designed to help AI models refactor Kubernetes configurations by analyzing Kustomize dependencies and rendering manifest diffs across environments. It provides tools for computing file dependencies, rendering overlays, and comparing configuration changes through a checkpointing system.