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

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

Enables MCP clients to screen names against PEP, sanctions, entity, enforcement and watchlist records through single-name and batch screening tools, with optional date of birth, country, entity type and full-response controls.

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.

Enables AI agents to extract video frames at configurable FPS and compose them into grid sheets for multimodal LLMs, with support for video download, HLS streams, and job management via MCP tools.

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.

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

Integrates SAM.gov, USASpending.gov, and Tango APIs to enable natural language queries for federal procurement and spending data, providing both human-readable and structured JSON outputs.

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.

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.

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.

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 MCP clients to view the user's screen and draw click-through annotations, highlights, and numbered step indicators directly on the live desktop, while keeping the user in control of mouse and keyboard.

Automates App Store screenshot capture from iOS Simulator, optimized for 2026 requirements with iPhone 6.9" and iPad 13" buckets.

Enables Claude to capture and analyze screen content across Windows, macOS, and Linux with zero native runtime dependencies.

A unified MCP server that combines screenshot capture with HTTP/SSE gateway for remote access, enabling full-page and element-specific screenshots via Puppeteer.

A cross-platform MCP server that allows AI agents to capture screenshots of specific windows, displays, or regions for native application testing. It provides tools to list active windows and monitors, enabling precise visual verification and interaction during automated workflows.

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

Enables AI agents to capture screenshots of windows (e.g., WeChat developer tools) and save them locally, allowing the agent to read the image directly and close the code-change-to-review loop without OSS or network.

A cross-platform screenshot tool that lets coding agents capture and view their output, enabling self-correction through visual feedback.

A small Model Context Protocol (MCP) server that gives an LLM eyes on your desktop without burning context. It can take one-off screenshots, crop a region around the mouse cursor, and run timed streaming sessions that save frames to disk and only return image bytes when explicitly asked.

Provides a single-purpose content-moderation gate that evaluates text and returns structured verdicts (spam/toxic probabilities, severity, confidence) with suggested actions (allow/review/block) for automated decision-making.

Enables capturing screenshots of web pages and local HTML files through a simple MCP tool interface using Puppeteer with configurable options for dimensions and output paths.

Enables extracting screenshots from video files at specific timestamps or intervals. Supports multiple video formats and output customization including resolution, quality, and format options.

Enables searching public UI design libraries (Refero, Mobbin, ScreensDesign, Dribbble) for real app and website screens, downloading them into a category-organized local library that can be searched offline, and capturing screenshots of any web page with a real browser. Works from any MCP client or as a standalone CLI.

Enables MCP clients to capture web page and DOM element images, tile full pages into AI-friendly chunks, and record animated screencasts with configurable waits and JavaScript injection.

Enables fast, high-quality screenshot capture of web pages with automatic tiling into 1072x1072 chunks optimized for AI vision workflows. It also supports capturing specific DOM elements and recording screencasts as animated WebP files.

Enables AI coding and vision tools to capture fresh webpage screenshots, automatically tile full pages into 1072x1072 chunks, capture CSS-selected elements, and record screencasts as PNG or animated WebP files.

Enables local MCP clients to capture screenshots of explicitly shared browser tabs without broad browser permissions. Prioritizes privacy by sharing only user-selected tabs, with automatic screenshot retrieval and no global tab access.

Enables capturing full-screen or selected region screenshots on Windows, saving them as PNG files locally and returning image data via MCP.

Enables users to capture web pages or specific DOM elements as optimized images, automatically tiling full pages into 1072x1072 chunks, and to record timed screencasts or animated WebP files for AI vision workflows.

Enables users to capture web pages as high-quality images, automatically tiling full pages into 1072x1072 chunks optimized for AI vision workflows. Supports configurable viewports, wait strategies, DOM element capture, and timed screencast captures.

Captures full-page screenshots and PDFs from any URL using Chromium rendering, with pay-per-call via x402 micropayments.

Enables users to capture full webpages or specific DOM elements as PNGs, with automatic tiling into 1072x1072 chunks optimized for AI vision models, and to record screencasts or animated WebP files.

Captures screenshots of web URLs or local HTML files using Playwright Chromium and exposes them as resources.

Enables AI tools to capture fast, fresh screenshots of web pages or specific DOM elements, automatically tiling full pages into 1072x1072 chunks sized for vision models. It also records timed screencasts that can be saved as animated WebP files.

Enables AI coding tools to capture fresh webpage screenshots, including full-page tiled chunks, specific DOM elements, and timed screencasts optimized for vision models.