"screenshot" matching MCP servers:

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

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.

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

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

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

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 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.

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.

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 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.

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

Captures high-quality screenshots of web pages with automatic resolution limiting and tiling optimized for Claude Vision API and other AI models.

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 generating beautiful syntax-highlighted code screenshots with professional themes directly from Claude. Supports file reading, line selection, git diff visualization, and batch processing across 20+ programming languages.

A server that allows AI agents and clients to programmatically capture screenshots of websites with options for image format and viewport selection.

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.

Captures high-quality webpage screenshots optimized for AI vision workflows, automatically tiling full pages into 1072x1072 chunks, with support for element-specific captures, configurable waits, and screencasts.

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.