"Methods to Test API Endpoints" matching MCP servers:

An MCP server that lets AI assistants manage an OpenMediaVault NAS over SSH using OMV's own RPC interface, covering disks, filesystems, shares, users, S.M.A.R.T. health, services, and configuration changes. It exposes a small set of generic tools to discover and call RPC methods, plus optional shell access.

Pre-alpha P2P remote-control app with a local stdio MCP bridge for paired computers. Users build from source; platform support and host-side approvals apply.

Enables AI agents to install, remove, update, and query apt packages on Linux via MCP tools.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

Enables SSH operations including connecting to remote servers, executing commands, and transferring files between local and remote systems. Supports multiple SSH connections with both password and private key authentication methods.

Enables AI models to play the game Peggle by capturing the primary monitor's screen and simulating mouse clicks. It provides tools for visual analysis and coordinate-based interaction to automate gameplay.

Enables AI assistants to query an Action1 RMM tenant for organizations, endpoints, groups, missing updates, vulnerabilities, automations, reports, users, and roles, and to build custom PowerShell-based reports whose results can be requeryed and read back. It also runs one-off PowerShell diagnostics as SYSTEM on selected Windows endpoints and allows limited report-related changes, while leaving endpoints, users, and organizations untouched.

Enables SSH connectivity and remote command execution on servers, allowing users to test connections and run commands remotely with support for both local networks and public servers.

Enables AI agents to control Android TVs, TV boxes, phones, and tablets over ADB through MCP tools for scanning and connecting devices, pressing keys, launching apps, opening URLs, searching YouTube, setting alarms and timers, managing volume and power, checking state, and capturing screenshots.

MCP server that exposes Vela RemotePC endpoints as tools, allowing AI clients to control the host system.

An MCP server for secure process management, allowing LLMs to start, monitor, and manage whitelisted processes like development servers and test watchers.

A production-grade MCP server that wraps the entire Action1 REST API, enabling Claude or any MCP host to manage endpoints, run scripts, deploy updates, and more via natural language with safety guards.

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

Legacy MCP server for console automation that preserves interactive sessions, a 40-tool command/test surface, and legacy protocol adapters for local/remote execution. Intended only for migrations to RunBeacon 3.0.

Enables coding agents to read, query, and safely modify RouterOS 7 devices over the REST API, covering firewall, routing, DHCP, DNS, interfaces, containers, files, and diagnostics, with confirmation gates and a scheduled rollback guard in front of disruptive changes.

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

MCP server for Clash Verge Rev that lets AI agents control your proxy — switch nodes, change modes, reload config, test latency — directly from conversation.

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

Provides tools for obtaining system CPU and memory statistics through FastAPI endpoints exposed via MCP.

Full computer control for AI agents on macOS — see, click, type, scroll via MCP. Works with any app, all processing on-device with PII protection.

Enables AI assistants to find and launch Windows applications by name using multi-strategy discovery via registry, Start Menu, PATH, and common directories.

Enables AI agents to read-only query an MSP's Action1 data — organizations, managed endpoints, missing OS and third-party updates, and scheduled automations — using per-request credentials that are never stored. Supports multi-tenant, stateless access over Streamable HTTP with paginated list results and structured error responses.

Launch Windows applications by name, alias, or path via MCP, supporting arguments and working directories. Uses Task Scheduler to detach launched processes so they persist independently of the MCP server.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

Native Windows MCP server that gives AI agents full desktop control. 45+ tools using UIAutomation + OCR with automatic dark theme enhancement instead of screenshots. Features batch action sequencing (run_sequence), window occlusion detection, menu navigation, PrintWindow capture, and embedded AI workflow instructions. Single .NET 8 executable — no Python, no Node, no Selenium.

Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Enables AI agents to securely create, manage, and monitor local processes such as dev servers, docker-compose, and test watchers, including restarting, checking status, and retrieving logs via MCP, HTTP, or WebSocket messaging.

Parse, validate, and explain cron expressions with pay-per-call via x402 (USDC on Base L2), returning next run times in any timezone.