"Windows Performance Toolkit and xperf.exe" matching MCP servers:

Read-only MCP server for diagnosing Windows crashes, stability, and gaming performance by reading event logs, crash dumps, hardware inventory, performance counters, and registry settings.

Performance AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Windows-optimized MCP server for ElevenLabs text-to-speech and audio processing, with fixed file paths and Cursor IDE integration.

A lightweight server that enables AI agents to interact natively with the Windows operating system for tasks like UI automation and application control. It allows LLMs to perform file navigation, simulate user input, and manage windows without requiring specialized computer vision models.

Windows integration MCP server that enables Claude to interact with Windows system features including media playback control, notification management, window operations, screenshots, monitor control, theme settings, file opening, and clipboard access.

A lightweight server that enables AI agents to interact with the Windows operating system, allowing for file navigation, application control, UI interaction, and QA testing through various tools.

A Python-based MCP server that analyzes PostgreSQL query plans, suggests indexes, and checks pagination safety to help optimize database performance.

MCP server and Claude Plugin for a full ENCODE Project genomic data and analysis toolkit — search, download, track, and analyze functional genomics experiments

Exposes Windows system information and control tools including hardware stats, network details, and process monitoring. It enables AI applications to retrieve real-time data about CPU, memory, drives, and active system processes.

Enables comprehensive Windows system management through Claude Desktop, including PowerShell/CMD execution, file operations, archive handling, Git tools, network testing, and system monitoring. Provides a complete toolkit for Windows automation and administration tasks.

Enables AI coding agents to work inside a disposable Windows guest desktop, where they can run shell commands, launch applications, inspect and operate native GUI controls, perform browser DOM actions, and transfer files. Fresh observations, PNG screenshots, and hashed artifacts let agents verify results without touching the host desktop.

Enables LLM agents to draw and edit ChemDraw reaction schemes, parse ELN exports and LCMS/NMR data, and generate publication-ready CDXML files through grounded chemistry tools.

A comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.

A plug-and-play MCP toolkit providing AI agents with web search (Chinese sources prioritized), file operations, and shell command execution capabilities.

An enterprise-grade automation server that enables AI assistants to control Windows PCs through intelligent UI element detection, window management, and system-level commands. It leverages the Windows UI Automation tree for reliable interaction, providing tools for mouse/keyboard control, application management, and high-performance screen state analysis.

Enables read-only observability of Windows systems, exposing CPU, memory, storage, service, and health information through Model Context Protocol tools.

Enables searching and retrieving documentation for the Rust windows crate API through an MCP server.

Enables MCP clients to observe Windows accessibility trees and deltas, generate fail-closed semantic action plans for external authorized executors, and control isolated, agent-owned Chrome tabs without accessing personal tabs.

Enables Claude Code to diagnose Windows slowdowns from captured evidence and perform explicit, policy-checked, verified repairs such as terminating exact processes, clearing ports, or restarting Explorer, with audit logging and local-only data.

Enables AI agents to interact natively with the Windows OS to perform file navigation, application and window control, UI automation, QA testing, and administration, security, and forensic workflows through 104 MCP tools.

Enables interaction with Time Messenger and Mattermost-compatible servers via their REST API, supporting reading, writing, and event streaming with configurable write policies for safety.

A lightweight Windows automation MCP server that scopes UI operations to a single target window, offering tools like ReadWindow, PeekWindow, Click, Type, Scroll, Screenshot, and App management with reduced token usage compared to full-desktop alternatives.

Enables Windows-native developer orchestration for Claude Code and Codex with PowerShell discovery, capability routing, safety-gated execution, package management, and sandbox-based isolation.

Enables ChatGPT to read and write local files, view the screen, and operate Windows desktop windows, mouse, and keyboard through MCP stdio and OpenAI's Secure MCP Tunnel.

Enables AI agents to interact with Windows operating systems by providing tools for UI automation, file navigation, application control, and system operations. Works with any LLM to perform tasks like clicking, typing, launching applications, and executing PowerShell commands through native Windows integration.

Enables AI coding agents to automate Windows desktop applications through semantic UI Automation instead of brittle coordinate clicks, with tools for discovering windows, finding controls by stable identifiers, and verifying actions.

Exposes a Windows GUI agent as MCP tools so any MCP client can drive the real desktop through natural language: clicking, typing, scrolling, launching apps and running PowerShell, with fallback LLM providers for resilience. Also offers read-only inspection of open windows, the UI Automation tree and multi-monitor screenshots without invoking an LLM.

An automation toolkit that enables AI-driven content publishing and creator data analysis for Xiaohongshu via the MCP protocol. It supports automated posting of image and video notes, cookie management, and performance metric tracking through natural language conversations.

Enables coding agents to work on Windows through persistent PowerShell sessions, surgical file editing, code search, background job execution, and web research while avoiding context-heavy GUI automation.

Enables AI agents to control and interact with the Windows operating system, including file navigation, application control, UI automation, and QA testing.