"Scrapy" matching MCP servers:

A headless web-scraping MCP server built on Scrapy, providing tools for polite fetching, CSS/XPath extraction, link/table extraction, sitemap and robots.txt reading, and bounded asynchronous crawls.

Enables real-time job discovery across multiple job boards and remote APIs, providing normalized and deduplicated job listings to AI agents via MCP.

Enables AI models to fetch real web pages while automatically bypassing anti-bot protections, login walls, and JS rendering, then returns clean, token-efficient article content.

Extracts YouTube video metadata, titles, and descriptions along with transcripts generated from subtitles or OpenAI Whisper speech-to-text. This server enables users to retrieve and analyze detailed video content directly within MCP-compatible environments.

Provides AI agents with real-time vision and control over Android devices through screen streaming, UI automation, and fast input control via scrcpy protocol.

MCP server that gives AI agents full vision and control over Android devices via ADB and scrcpy. Supports screenshots, input, apps, UI automation, shell, files, and clipboard.

MCP server for Android device control via ADB and scrcpy, enabling AI agents to see and interact with Android devices.

Enables agents to run Google searches across web, images, videos, news, books, shopping, scholar, patents, and AI Mode without an API key, using a cookie-bootstrapped HTTP fast path with a headless browser fallback, proxy rotation, and adaptive cooldowns. Every response reports an explicit status (ok, blocked, rate_limited, empty, error) so results are never fabricated.

Local MCP server for observing and controlling an authorized Android device over USB using ADB and scrcpy, providing screen capture, UI automation, app inspection, logcat, and evidence recording.

Enables LLMs to perform web browsing tasks, take screenshots, and execute JavaScript using Puppeteer for browser automation.

Gives AI agents vision and control over Android devices using ADB and scrcpy, enabling screenshots, input gestures, app management, UI automation, shell commands, file transfer, and audio/video streaming.

Enables AI agents to see and control Android devices through ADB and scrcpy, supporting screenshots, input, app management, UI automation, shell/file access, and audio/video streaming.

Gives AI agents vision and control over Android devices through ADB and scrcpy, enabling screenshots, taps, swipes, typing, app launching, UI inspection, file transfer, and shell commands. Uses scrcpy's control protocol for fast input and near-instant screenshots, with ADB as a fallback.

Gives AI agents vision and control over Android devices through ADB and scrcpy, enabling them to capture screenshots, tap, swipe, type, launch and manage apps, inspect UI elements, stream audio and video, transfer files, and run shell commands. Input and screenshots run over a fast binary control protocol when a session is active, with ADB fallback so interaction keeps working without scrcpy.

Enables AI agents to see and control Android devices through ADB and screen mirroring, supporting screen capture, touch input, app management, UI element finding, file transfer, shell commands, clipboard access, and audio/video streaming.

Gives AI agents vision and control over Android devices through ADB and scrcpy, enabling screenshots, taps, swipes, typing, app and UI automation, file transfer, shell commands, and audio/video streaming. Works with any MCP-compatible assistant and falls back to ADB-only interaction when scrcpy is unavailable.

Gives AI agents vision and control over Android devices via ADB and scrcpy, enabling screen capture, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, audio/video streaming, and clipboard access.

Gives AI agents vision and control over Android devices, with tools for screenshots, touch input, app and UI automation, shell access, file transfer, clipboard, and audio/video streaming.

Enables AI agents to see and control Android devices through ADB and scrcpy, including screenshots, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, audio/video streaming, and clipboard access.

Gives AI agents vision and control over Android devices through ADB and scrcpy, letting them capture and actually see the screen, tap, swipe, type, launch and manage apps, find UI elements, stream video and audio, transfer files, and run shell commands. Interaction uses scrcpy's fast binary control protocol for near-instant screenshots and 10-50x faster input, with an ADB fallback when no session is active.

Enables MCP-compatible AI assistants to see and control Android devices through ADB and a fast device-control protocol, including screenshots, touch input, typing, app management, UI inspection, file transfer, shell commands, and audio/video streaming.

This MCP server gives AI agents vision and control over Android devices through ADB and scrcpy, enabling screen capture, taps, swipes, typing, app launching, UI element inspection, file transfer, and shell commands. It uses scrcpy's binary control protocol for fast input and near-instant screenshots, falling back to ADB when scrcpy is unavailable, and also supports video and audio streaming plus recording.

Enables AI assistants to see and control Android devices by capturing screenshots as images, tapping, swiping, typing, launching apps, inspecting UI elements, transferring files, streaming audio/video, and running shell commands. Uses scrcpy's binary control protocol for fast input and near-instant screenshots, with ADB fallback for interaction tools.

Enables MCP-compatible AI assistants to see and control Android devices via ADB and scrcpy, exposing 44 tools for screenshots, taps, swipes, typing, UI element discovery, app management, file transfer, clipboard, shell commands, and audio/video streaming. Uses scrcpy's binary control protocol for fast input and near-instant screenshots, with an ADB fallback when no scrcpy session is active.

Enables AI agents to view and control Android devices through ADB and scrcpy, supporting screenshots, touch input, app management, UI element discovery, file transfer, shell commands, and audio/video streaming.

Enables MCP-compatible AI assistants to see and control Android devices through screenshots, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, and audio/video streaming. It connects over ADB with optional low-latency acceleration for faster input and near-instant screenshots.

Enables AI agents to see and control Android devices through ADB and scrcpy, supporting screenshots, taps, swipes, typing, app management, UI inspection, shell commands, file transfer, clipboard access, and video/audio streaming. It gives MCP-compatible assistants near-instant visual feedback and fast device interaction, with ADB fallback when scrcpy is unavailable.

Enables AI agents to see and control Android devices through ADB and scrcpy, supporting screen capture, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, and audio/video streaming.

Enables AI agents to see and control Android devices via ADB and scrcpy, supporting screenshots, taps, swipes, typing, app and UI automation, file transfer, shell commands, clipboard, and audio/video streaming.

Gives MCP-compatible AI assistants vision and control over Android devices — capturing screenshots, tapping, swiping, typing, launching apps, inspecting UI elements, streaming audio/video, transferring files, and running shell commands over ADB, with a fast binary control protocol for near-instant input and screenshots.