"AWS Cost and Usage Analysis with Cost Optimization Recommendations" matching MCP servers:

Connects ChatGPT Web to a self-hosted local coding workbench, enabling file editing, shell commands, Git/GitHub operations, multi-workspace management, code review, terminal processes, checkpoints, and optional Docker sandboxing.

Windows桌面截图与窗口自动化工具，支持后台操作、不抢焦点，可截取窗口/屏幕、模拟鼠标键盘、点击菜单等。

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

Enables remote server control via SSH through Claude, supporting command execution, file transfers, and multi-server management with both standard and streamable HTTP protocols.

Enables AI agents to query Windows process, window, and console information via structured JSON instead of screenshots, reducing token usage by 94-98%.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.

Enables AI assistants to capture screenshots and read clipboard content from Windows applications while operating within a WSL environment. It supports monitor or window-specific targeting and features intelligent image optimization for efficient data transfer.

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

Provides quick access to local system utilities including time/date, hostname, public IP, directory listings, Node.js version, and port usage through an MCP server interface compatible with Cursor and other MCP clients.

Aggregates multiple local stdio MCP services into a single HTTP endpoint and launcher-managed local processes, with a mobile-first web console for starting, stopping, monitoring logs, health checks, and usage.

Turn your Android phone into an MCP server. AI assistants connect on demand, query your health data, notifications, app usage, and take actions on your device — all end-to-end encrypted, no cloud sync.

A minimal server that provides AI assistants with access to Linux kernel tracing capabilities through bpftrace, enabling dynamic tracing and performance analysis via the Model Context Protocol.

Enables AI agents to manage processes via structured MCP tools, reducing token usage by 75-80% compared to shell commands.

A high-performance Model Context Protocol (MCP) server built for Windows. Leveraging the native Everything SDK, it provides AI models (like Claude, GPT, Gemini) with millisecond-speed file searching, statistical analysis, and disk usage insights.

Enables AI assistants to check disk usage on the host machine, providing real-time reports on partition health, warnings, and critical alerts across Windows, macOS, and Linux.

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 AI assistants to perform comprehensive Windows system health diagnostics, security checks, developer workflows, and maintenance tasks via 85 tools with actionable recommendations, over MCP and OpenAI-compatible HTTP.

Provides AI assistants with safe, read-only access to Linux systemd services, including status monitoring, log querying, and dependency analysis, with optional granular permissions for service management actions.

Enables AI agents to automate real desktop applications across Windows, Linux, and macOS using incremental screen perception, accessibility trees, OCR, and window management, dramatically reducing token usage compared to screenshot-per-step approaches.