"Understanding RAG (Retrieval-Augmented Generation or related topics)" matching MCP servers:

Enables agents to inspect ROS topics, processes, tmux sessions, and logs, and to perform operational actions such as sending tmux commands, restarting services, executing commands in containers, and running SSH remote commands.

A Model Context Protocol (MCP) server that empowers LLMs to schedule persistent background jobs on servers/NAS, recursively crawl web documentation into an offline SQLite RAG knowledge base, and dispatch smartphone push notifications with interactive approvals.

This server enables AI agents to operate Windows and Linux computers by observing the screen, understanding the UI through accessibility, OCR, and vision, and performing mouse, keyboard, window, clipboard, and system actions with verification and recovery.

A basic MCP server that provides arithmetic calculation tools and system information retrieval capabilities, including platform, CPU, and memory details.

426+ MCP tools for macOS, all on-device — local AI inference (llama.cpp on Metal), voice, vision OCR, local RAG, browser automation, and ~140 system actions across 26 macOS domains. Nothing leaves your Mac.

Provides system utilities, file operations, data tools, creative idea generation, and dynamic resources via MCP, with auth support for bearer tokens and OAuth.

Exposes an installed LCU runtime to MCP clients as computer-use tools, maintaining persistent sessions across related calls and handling recognized native-app consent locally for clients without approval dialogs.

Enables AI clients on Windows to control the local mouse, keyboard, and screen understanding via MCP stdio, allowing automated workflows like viewing the screen, locating elements, clicking, typing, and verifying results.

Enables Claude to send and read iMessages on macOS, with smart contact lookup, message history retrieval, and cross-conversation search using natural language commands.

A thin MCP adapter that connects an LLM to the ros2_medkit SOVD HTTP API, enabling discovery, data retrieval, operation execution, and configuration management for ROS 2 systems.

MCP server that captures a Windows application's pixels and bounded UI Automation tree with provider-exposed text for Codex inspection. It supports capture, listing, retrieval, and watcher control commands.

Enables AI agents to read and adjust Windows HXAudio APO parametric EQ, preamp, virtual bass, and related DSP settings, with live registry-backed updates, backups, and PEQ curve imports.

A server that provides rich UI context and interaction capabilities to AI models, enabling deep understanding of user interfaces through visual analysis and precise interaction via Model Context Protocol.

Enables MCP agents to drive Windows applications by targeting individual windows—clicking, typing, scrolling, dragging, and reading accessibility trees or screenshots—without stealing the user's focus, mouse, or keyboard. Runs entirely locally alongside the user, with per-app approval and no cloud account or usage limits.

Provides environment and configuration tools for AI agents, enabling parsing and generation of .env files, port checking, system information inspection, and dependency verification.

A Model Context Protocol server that provides tools to publish messages to ROS topics via rosbridge WebSocket, enabling integration between language models and ROS-based robotics systems.

Enables AI agents to efficiently manage and monitor background processes, with features like process startup, termination, log retrieval, and resource management.

Enables control of Android emulators (MumuEmulator or ADB-connected devices) through natural language, supporting app management, screen interactions (tap/swipe), screenshots, and device information retrieval.

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.

Allow AI agents to see and control a real Windows PC you own: observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH — your machine, your key.

Clones the OpenCode workbench installation onto Linux machines — locally or over SSH — reproducing the same OpenCode config, MCP servers, agent skills, plugins, and Docker tooling. Exposes 6 tools over stdio.

Enables AI agents to capture and analyze screenshots of macOS applications, windows, or the entire screen using local (Ollama) or cloud-based AI vision models, with non-intrusive, fast screen capture via Apple's ScreenCaptureKit.

Run Apple Shortcuts on your iPhone, iPad or Mac from any MCP client over an end-to-end encrypted relay. The phone can stay locked.

Enables MCP-compatible AI clients to securely monitor and manage a self-hosted Linux VPS over SSH, including service status, disk and RAM usage, TLS certificate expiry, fail2ban summaries, and two-step confirmed service restarts or IP unbans.

Enables an MCP client such as Claude to inspect a Mac's battery, memory, CPU, GPU, disk, and most energy-hungry apps, and to shut down, restart, sleep, or lock the screen now or on a schedule with a cancellable 60-second grace period.

Enables an AI assistant to list available monitors and take a single on-demand still screenshot of a selected monitor, with optional downscaling and JPEG or PNG output.

Enables AI tools to open the macOS Maps app and search for places or addresses through a single MCP tool, without requiring a Maps API key.

Provides AI agents with real-time ground truth about what's actually running on the machine, including live agent sessions, listening TCP ports, loaded daemons, and system stats. It reads directly from the OS via fixed commands, ensuring agents never rely on stale docs or transcripts.

Inspect a cronstable job scheduler's jobs, logs, run history, DAG workflows, and cluster health, and ask why a job did or didn't run. Read-only by default; tools that run, pause, or approve jobs and workflow runs need opt-in.

Control a real iPhone or iOS Simulator through a macOS daemon and XCTest runner over USB or Wi-Fi: read screen text, tap, type, swipe, inspect logs and replay flows with explicit outcomes. Browser sandbox: use readonly to inspect 12 preloaded flows without a phone. Reuse an existing sandbox from MCP Deployments, or delete it before starting another. Device control needs your Mac and iPhone.