"Searching for information about screen capture or screenshot methods" matching MCP servers:

An MCP server that enables Claude Code and other MCP clients to take screenshots of the full screen or specific windows, with support for repeated captures over intervals.

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 agents to capture screen regions by defining a visual overlay or arbitrary coordinates, returning base64 PNG images.

Provides screen capture and optical character recognition (OCR) capabilities for entire displays or specific application windows. It enables users to list running applications, take screenshots, and extract text from images using multi-language support.

MCP server for screen recording on macOS, iOS Simulator, and Android, with key-frame extraction via ffmpeg, enabling AI agents to capture UI motion and transient visual states.

Enables LLMs to capture screenshots and screen recordings through MCP with chunked session-based transfers for reliable image consumption. Supports multi-monitor selection, timeline capture, and compatibility with both vision and non-vision language models.

An MCP server that enables AI assistants like Claude Code to capture screenshots, view images, and manage screenshot files on Windows. It uses native Windows APIs for full-screen, region, or active-window captures, and supports image analysis and automated cleanup.

An MCP server that enables AI agents like Claude to capture screen screenshots on demand and maintain a sliding window of recent frames for multimodal Q&A context.

Enables AI assistants to interact with macOS windows through yabai, providing window listing organized by Spaces and screenshot capture capabilities.

Enables AI assistants to search and retrieve encrypted local screen history, including OCR text, recent activity, context around moments, daily rollups, and screen snapshots.

A local MCP server for Windows that gives Claude control of your screen, enabling screen viewing, image-based element finding, clicking/typing, macro recording and replaying, and scheduled automation with failsafe safety features.

Enables AI assistants to capture screenshots and control desktop input (mouse, keyboard) to see and interact with your screen. Features user-first safety controls including automatic pause on user activity and app allowlists to restrict interactions to approved applications only.

Enables MCP-capable agents to add, search, edit, archive, and delete locally stored notes over streamable HTTP without using the web UI.

Captures screen, detects text regions, and runs OCR to return a compact JSON with text content, saving tokens compared to full screenshots.

An MCP server that gives a model eyes and hands on a Linux Wayland desktop, enabling screenshot capture, mouse/keyboard control, OCR, and icon detection via OmniParser.

Captures formatted screenshots of Caido Replay request/response pairs by driving the Screenshot Mode plugin via Chrome DevTools Protocol.

An MCP server that uses headless Chromium (Puppeteer) to capture pixel-perfect screenshots and extract DOM from URLs, with LLM-friendly step-based workflows.

Enables AI agents to start and stop full-screen recordings on macOS using FFmpeg, with control over quality, FPS, and audio.

Gives AI agents eyes on Hyprland Wayland desktops by capturing screenshots via grim and offering optional image analysis with Gemini API.

Captures incoming webhook/HTTP requests and lets AI assistants inspect, wait for, and replay them to debug webhook integrations.

Provides screenshot and OCR capabilities for macOS.

Enables read-only screen capture, OCR, and change detection without input control.

An MCP server that lets AI assistants see your macOS desktop, capture screenshots, read browser tabs, and preview files via local macOS tools.

MCP server for taking Linux / Wayland screenshots via grim and slurp.

Gives terminal coding agents a local browser canvas for rendering charts, tables, metrics, markdown, live widgets and sandboxed MCP App UIs that would otherwise reach them as raw JSON. Lets agents pose blocking visual multiple-choice questions and read back the user's clicks, selections and an animated architecture map of file activity.

Enables Claude to capture screenshots, watch your screen in real-time, read text via OCR, and analyze video files, all running locally as an MCP server.

Enables any AI agent to perceive and control a Windows desktop through live screen capture, OCR, and safety-gated mouse/keyboard actions via a local HTTP API and MCP.

Enables screen capture, OCR text extraction, and automated clicking on macOS through MCP. Supports fullscreen, window, and region capture with optional text recognition and monitoring.

An MCP server that enables automating Capture One Pro on macOS, providing tools for reading and editing images, managing layers/masks, recipes, and processing with risk-tiered write gating.

An MCP server for reliable iOS Simulator automation that enables agents to control devices, read accessibility UI trees, and capture screenshots. It supports deterministic grounded actions like tapping, typing, and swiping to create a closed-loop observe-reason-act cycle.

Enables AI agents to drive TradingView Desktop, switch through a layout's symbols, and export each chart's rendered image, CSV data, and indicator details to local files, which they can then read in part or crop on demand. It runs jobs in a background process that does not consume agent tokens and keeps only the current day's output, leaving symbol choice, analysis, and use of the data to the caller.

MCP server for capturing real UI screenshots using Playwright. Provides tools to capture a URL or capture with login and selectors.

Enables AI assistants running in WSL to capture Windows screenshots of full desktops, specific monitors, or individual windows by title or process name. It features DPI awareness, automatic path conversion between WSL and Windows, and customizable storage options.

Captures full-monitor screenshots and returns them as base64 inline or saved file. Supports macOS, Linux, Windows, and WSL2.

A Model Context Protocol server that provides screenshot capabilities for AI assistants, including window, region, and long screenshots across Windows, macOS, and Linux.

Enables AI agents to capture raw HTTP requests/responses and command executions as report-ready screenshots with preserved evidence bundles via MCP.

Enables AI assistants to take screenshots of localhost development servers for visual verification of UI changes, reducing manual debugging cycles.

MCP server for capturing screenshots of desktop windows on Windows. Allows AI assistants to see what's on screen for UI development, debugging, and iterating on designs.

Enterprise-grade screenshot capture server for AI agents with multi-format support, PII masking, multi-monitor support, and security controls for capturing full screens, specific windows, or custom regions across Linux, macOS, and Windows.

Enables LLMs to capture and analyze screenshots of your screen, windows, or regions with smart detection capabilities. Features natural language queries, automatic window targeting, and text enhancement for UI debugging and visual inspection.