"Personalized Summary Service" matching MCP servers:

An MCP (Multi-Agent Conversation Protocol) server that enables interaction with Google's Managed Service for Microsoft Active Directory through its OpenAPI, allowing users to manage identity resources through natural language.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables AI assistants to manage remote servers via SSH with agentless command execution, file operations, and service management.

An MCP server that reports on and manages systemd services using systemctl and journalctl, enabling service listing, status, logs, and control operations.

Visual network topology editor with AI agent integration via MCP. One-click SSH + web-service access from any node, nmap/CSV import, smart auto-layout, multi-sheet, local-first. Open-source successor to netViz (CA Technologies 1990-2012)

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.

ssh-mcp-pro is a secure Model Context Protocol (MCP) server for SSH automation, enabling clients to open SSH sessions, run commands, manage files, transfer artifacts, create tunnels, and perform package/service operations under policy control.

Enables system automation and control including command execution, process management, network tools, environment variables, disk usage, and service status.

A structured SSH management service that exposes command execution, file transfer, background jobs, GPU monitoring, systemd operations, and port forwarding as MCP tools with strict security and explicit input schemas.

Provides a secure MCP interface to execute commands inside Docker Compose service containers, with real-time output capture and configurable timeouts.

The Yeepay MCP service provides integration with Yeepay services via the Model Context Protocol (MCP).

Servagent is an MCP server that enables a remote AI to take full control of a Linux server: command execution, file management, service administration, and more.

Enables AI agents to fetch Nebius cloud service documentation and execute Nebius CLI commands for managing cloud resources like compute instances and storage buckets through natural language interactions.

Talk to AWS CLI from an MCP-speaking agent. Run any aws <service> <operation> command through the Model Context Protocol, with read-only defaults and gated write access.

AI-native oscilloscope control. A pure-Python MCP service that lets LLM agents control Keysight EDUX1052G oscilloscopes via a compact DSL.

A command-line interface and MCP server for managing and monitoring multiple development services through a unified terminal UI. It enables users to interact with service logs, filter messages, and control development environments directly via Model Context Protocol integration.

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

Provides MCP tools for common developer operations like file outlining, git commit context, test summary, process management, and waiting for conditions, returning structured JSON to reduce token usage.

Enables AI assistants to execute AWS CLI commands and retrieve service documentation through the Model Context Protocol. It supports Unix pipes for output filtering and provides pre-defined prompt templates for common cloud management tasks.

A desktop management platform for plugin management, log querying, service control, and packaging/deployment, with an MCP protocol bridge for AI clients.