"An application to manage HCM data for book keeping businesses" matching MCP servers:

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.

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.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.

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.

Provides an interface to the CloudNet Service REST API v3, enabling AI assistants to observe and manage CloudNet nodes, services, and players.

An MCP server implementation that integrates with the Civo cloud platform API, providing capabilities to manage cloud instances, networks, and Kubernetes clusters.

An MCP server implementation that enables AI assistants to interact with and manage Sakura Cloud infrastructure, including servers, disks, networks, and containerized applications.

Enables AI agents to manage server infrastructure through the 1Panel API, including Docker containers, databases, and system monitoring. It provides tools for website management, file operations, and application deployment via natural language commands.

MCP server for managing Pterodactyl game panel resources (users, servers, nodes, locations, etc.) via the Application API.

An MCP server that enables AI assistants like Claude to manage Unraid servers through natural language. Install it from Community Applications and control your homelab from any MCP-compatible AI client.

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

An MCP server that enables interaction with Kubernetes/Minikube clusters through natural language, allowing AI agents like Codename Goose to manage Kubernetes resources via the Model Context Protocol.

Enables LLMs to manage and monitor Hetzner Cloud infrastructure, including servers, firewalls, networks, and snapshots, while keeping the API token local and secure.

An MCP (Model Context Protocol) server that enables AI assistants to manage Exoscale cloud infrastructure. Supports both stdio and Streamable HTTP transports with read-only mode enabled by default for safety.

An MCP server that exposes the full API of the Komodo infrastructure management platform. It enables users to manage deployments, stacks, servers, and containers through tools for inspection, configuration, and operational control.

Enables AI models to interact with Harbor container registries to manage projects, repositories, and system configurations in real time. It provides a suite of tools for monitoring health, retrieving statistics, and performing searches across registry data.

Enables LLMs to dynamically orchestrate containerized application deployments to a Kubernetes cluster, handling configuration validation, manifest generation, dry-run planning, and service endpoint extraction.

A middleware service that allows LLMs and AI assistants to directly interact with the Dokploy platform through a standardized interface, providing access to Docker, project, and application management capabilities.

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

An MCP server designed for remote Linux kernel cross-compilation over Tailscale SSH. It enables users to manage configurations, execute kernel builds, and retrieve build artifacts directly through an MCP-compatible interface.