"A tool for tracking dates and schedules" 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.

MCP server for Pterodactyl and Pelican game server panels. 73 tools for server management, power control, file operations, backups, schedules, databases, users, nodes, and eggs.

A Model Context Protocol server for managing cloud servers, particularly DigitalOcean droplets, allowing users to identify providers via IP addresses and perform operations like power management, status monitoring, and resource usage tracking.

Enables managing Pterodactyl Game Panel servers via Client and Application APIs, including power actions, files, databases, backups, schedules, and administrative operations.

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

Enables managing game servers, Discord bots, hosted apps, and VPS instances from one surface: powering machines on and off, reading consoles and live stats, editing server files, taking backups, deploying or rolling back apps, and adjusting firewalls, schedules, variables, and usage monitoring by forwarding each tool call to an upstream hosted service.

Enables self-hosted, per-panel access to Pterodactyl Application and Client APIs for managing servers, users, nodes, files, backups, schedules, and console output, with writes gated behind operator enablement.

Enables MCP clients to drive a Pterodactyl game panel over both its client and application API trees, covering servers, files, backups, schedules, databases, subusers, nodes, nests, and an eight-tool wings websocket console suite. Exposes 105 typed tools with a default-deny gate that blocks deletes, reinstalls, suspensions, and kill actions until explicitly allowlisted.

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.

A production-ready MCP server for Docker Swarm that provides full control over services, stacks, configs, and secrets with smart context preservation to reduce tool clutter.

A free native MCP server for running, understanding, and debugging Linux containers on macOS using Apple's container tool, with audit trail and configurable safety modes.

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 an AI agent to view and control VMware vSphere VM consoles—screen, mouse, and keyboard—through vCenter, without installing anything in the guest.

GenieACS-MCP is a Go-based MCP server that bridges any GenieACS (TR-069 ACS) instance, exposing device data, firmware management, and CPE actions (reboot, parameter refresh, firmware download) over JSON-RPC

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.

Enables AI coding agents to safely run commands, install dependencies, test, and modify code inside disposable, policy-enforced Docker sandboxes isolated from the host, returning results and diffs.

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

VMware vSphere compliance and hardening — read-only baseline scanning plus drift detection across CIS, DISA STIG, vSphere SCG, China DJCP 2.0, and PCI-DSS frameworks. Includes LLM-powered remediation suggestions; apply-side gated through the vmware-pilot approval workflow.

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.

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.

AI-powered VMware storage management for vSphere. Manage datastores, iSCSI targets, and vSAN via natural language with 11 MCP tools.

Enables LLM agents to control NVIDIA Run:AI infrastructure by dynamically searching and executing over 426 Run:AI APIs through MCP tools.