mcp-kvm is an open-source MCP server that allows AI agents to control computers through KVM hardware, enabling automation of tasks at the BIOS, login, and system recovery levels. Below are 19 autonomous agents & workflows apps with similar functionality to mcp-kvm, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
kubernetes-mcp is a CLI tool that provides an MCP server for exposing Kubernetes cluster operations to AI assistants. It enables automation and management of Kubernetes environments through AI-driven workflows.
plesk-mcp is an open-source MCP server that facilitates automation and orchestration of model context protocol workflows, particularly for hosting and AI infrastructure scenarios. It is designed for engineers integrating AI models into hosting platforms.
kira-mcp is an open-source local MCP server for AI agents, providing YOLO-based UI-element detection, OCR, and full keyboard, mouse, and clipboard automation. It is designed for developers building autonomous agents that interact with desktop environments.
AI cross-context synchronization layer — shared knowledge base MCP server for Claude Code, Copilot, and Codex
eip-mcp is an open-source MCP server that delivers vulnerability and exploit intelligence for AI assistants. It supports the Model Context Protocol and is designed for integration into security and AI workflows. Distributed under the MIT license.
kwin-mcp is an open-source MCP server that enables GUI automation and virtual testing for Linux desktops running KDE Plasma 6 on Wayland. It supports accessibility integration and is designed for automation engineers and testers.
mcp-brain is a command-line and MCP server framework for multi-agent cognitive processing. It enables developers and researchers to coordinate and execute complex agent-based workflows, supporting advanced automation and distributed AI tasks.
mcp-defense is a CLI tool for AI infrastructure engineers and security teams, providing kernel-native runtime defense for AI agents. It enforces MCP tool-call policies and correlates kernel events to secure agentic workloads such as Claude Code, Codex, and Devin.
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
vectra-ai-mcp-server is an open-source MCP server that exposes security detection, investigation, and response tools to AI assistants. It enables integration with AI-driven workflows for security automation and is suitable for security engineers and AI developers.
kvm-pilot is an open-source CLI tool that enables AI-driven automation for managing bare-metal servers through IP-KVMs and Redfish BMCs such as PiKVM, GLKVM, and iDRAC. It is designed for system administrators seeking to streamline remote hardware control and integrates with Model Context Protocol (MCP) for advanced automation.
imagine-mcp is an open-source MCP server that enables image and video understanding and generation using multiple AI models, including Gemini, OpenAI, and Grok. It supports multimodal tasks and integrates with the Model Context Protocol.
vcenter-mcp is an open-source MCP server designed for integrating Broadcom VCF vCenter Server Appliance with the Model Context Protocol. It provides a CLI tool for infrastructure engineers to automate and manage vCenter environments.
MCP.so is a third-party marketplace for discovering, searching, and integrating MCP servers and clients. It provides a large collection of MCP servers, supports AI and agent integrations, and offers installation via API, CLI, and Docker. Designed for developers building AI-powered applications.
hyperclast-mcp is an open-source MCP server that lets developers enable AI assistants to read and write user pages. It provides a standardized interface for integrating AI-driven automation into applications, supporting extensibility and self-hosted deployments.
mcp-server-remote is an open-source Python package that implements a remote MCP server for serving MCP clients. It is designed for developers who require MCP protocol support in their applications and can be run via the command line.
jupyter-mcp-server is an open-source Python package that implements a Model Context Protocol (MCP) server for use within Jupyter environments. It allows developers to integrate MCP capabilities into their Jupyter workflows, supporting advanced model context management and interoperability. Designed for developers working with Jupyter notebooks and related tools.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
MCP server for ZizkaDB — give any AI agent persistent memory and observability
