"Methods to Test API Endpoints" 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.

An MCP server that lets AI agents run PHP unit and integration tests inside Docker containers without local PHP or Composer.

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

Provides programmatic access to Xcode functionality, enabling AI assistants to create, build, test, and manage iOS/macOS projects directly.

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

Enables interaction with the RunPod REST API to manage GPU pods, serverless endpoints, templates, network volumes, and container registry authentications through natural language.

This Model Context Protocol server enables interaction with RunPod's REST API through Claude or other MCP-compatible clients, providing tools for managing pods, endpoints, templates, network volumes, and container registry authentications.

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

Open-source MCP server for managing Hetzner Cloud infrastructure with two management layers: * Layer 1 — Hetzner Cloud API (35 tools): Server power control, metrics, snapshots, backups, firewalls, DNS zones and records, rescue mode, server rebuild and rescale. Works even when the server OS is unresponsive. * Layer 2 — SSH (25 tools): Service management (systemd), Nginx config and reload,

Enables AI agents to safely test and debug PowerShell, CMD/BAT scripts, and system utilities inside isolated Hyper-V virtual machines, with snapshot rollback, host-to-guest file transfer, PowerShell Direct execution, and autonomous self-correction on failures.

HTTP MCP adapter for requesting VMs and inspecting state. Part of the vm-forgeyard KVM control plane for test and development virtual machines.

just a test of glama

Enables interaction with Redfish-compliant BMC devices for server management, firmware updates, and hardware monitoring through session-based authentication and standardized API endpoints.

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

A lightweight MCP server that enables natural language interaction with Kubernetes clusters, allowing management of pods, deployments, namespaces, and cluster resources through conversational queries or API endpoints.

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

An enhanced Python-based MCP server that enables complete VM lifecycle management and monitoring of Proxmox virtualization platforms through natural language, with 11 REST API endpoints for seamless integration.

Exposes over 130 Dockhand API endpoints as tools to manage Docker infrastructure through AI assistants. It enables comprehensive control over containers, stacks, networks, and volumes across multiple environments and hosts.

Provides a local API to manage Docker containers and volumes, enabling operations like listing, inspecting, starting, stopping, and removing containers, as well as managing volumes, all through HTTP endpoints without shell commands.

Enables schema-validated access to all 680 Proxmox VE API endpoints plus curated guest, snapshot, backup, storage, and task tools, with read-only behavior by default and controlled writes when explicitly enabled.

Enables AI agents to dynamically spawn, route to, and manage ephemeral containerized sandboxes on Kubernetes without requiring Custom Resource Definitions or cluster-level operators.

Enables comprehensive management of CloudStack infrastructure through natural language, providing access to over 735 API methods for virtual machines, networking, and storage. It features enterprise-grade security with a safety confirmation system for destructive operations and extensive API coverage.

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.

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

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.

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.

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.

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.

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