"A tool to manage and process a list of Swagger API endpoints" matching MCP servers:

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

Manage and monitor Hadoop clusters via Apache Ambari API, enabling service operations, configuration changes, status checks, and request tracking through a unified MCP interface for simplified administration. * Guide: https://call518.medium.com/llm-based-ambari-control-via-mcp-8668a2b5ffb9

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 for the Agent Platform API, enabling management of sandbox environments through MCP protocol. Exposes tools to interact with sandbox lifecycle operations such as start, stop, and status checks.

Expose Nutanix V4 APIs as tools callable by AI assistants — Claude, Cursor, and any MCP-compatible client.

Enables AI assistants to manage Docker/Podman deployments through Komodo, supporting container management, server orchestration, and infrastructure control via natural language.

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.

MCP server for Proxmox VE and Proxmox Datacenter Manager, covering every API endpoint via six consolidated tools for list, describe, and call operations with a read-only safety gate.

MCP server for Nutanix Prism Central v4 REST API, enabling AI agents to list and inspect VMs, control VM power state, list clusters, read alerts, and list subnets.

Manages and views virtual machines across multiple cloud providers (AWS, Azure, Alibaba Cloud). Enables AI assistants to list, inspect, and control VMs through a unified MCP interface.

MCP server for managing Linode cloud resources via the Linode API, enabling LLMs to create, list, delete, and reboot instances.

An MCP server for TrueNAS that lets users manage ZFS pools, datasets, shares, snapshots, VMs, alerts, and network configuration through natural language, using a single hierarchical tool exposing 278 actions.

Enables users to manage standard AutoDL container instances through natural language: powering them on (including a no-GPU mode), powering them off, and checking instance and background job status. When GPUs are out of stock, power-on requests keep retrying in the background with exponential backoff until the instance starts.

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

Enables AI assistants to run shell commands, read, write, edit, search, and stream files on remote SSH servers and Docker containers, including nested multi-layer chains, without installing any runtime on the target hosts. It auto-injects a self-contained Go helper with adaptive zstd compression for fast transfers and process control.

Provides tools to manage Proxmox VE clusters via Claude Code, enabling listing nodes, VMs, templates, power actions, and creation of LXC containers and VMs through the Proxmox REST API.

Enables LLM agents to monitor and manage a Proxmox VE cluster, including cluster status, VM/container lifecycle, and node actions via MCP tools.

Provides secure access to containerized build environments for software projects, enabling AI assistants to execute builds, run tests, manage git operations, and inspect build artifacts without requiring local installation of dependencies.

An MCP server that enables AI assistants to manage Docker containers, images, networks, and volumes through a standardized interface. It supports comprehensive operations like container lifecycle management and image pulling while ensuring correct handling of command and environment variable arrays.

Enables AI assistants to manage Docker containers, execute commands inside them, and inspect container information through a minimalist set of tools supporting both stdio and HTTP transports.

Enables AI agents to connect to and control a Virtual Private Server via SSH. It provides a comprehensive suite of tools for remote file system operations, session management, and shell command execution.

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.

Enables AI models to manage Docker containers, images, networks, and volumes through the Portainer API, providing comprehensive container orchestration capabilities.

A Model Context Protocol server that provides integration with the Coolify API, enabling DevOps teams to manage Coolify deployments, applications, services, and servers through MCP tools.

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

A Model Context Protocol (MCP) server for Proxmox Virtual Environment that enables AI assistants to manage virtual machines, containers, nodes, and resources through natural language interactions.

MCP server for Portainer REST API that enables AI assistants to manage Docker containers, stacks, images, networks, and volumes through natural language.

Enables AI agents to manage Docker containers, images, Compose stacks, health checks, and logs through a unified MCP interface, ensuring containers stay running with self-healing capabilities.

Enables AI assistants to provision and manage cloud infrastructure and AI/ML workloads—such as GPUs, nodes, storage, networking, databases, Kubernetes, and training/inference resources—through natural language. It also provides a universal REST tool for authenticated access to the underlying cloud API.