Amenbo is a Japanese-web-native MCP server for low-impact, token-efficient web collection, enabling agents to fetch, outline, and screenshot web pages while respecting robots.txt and optimizing for Japanese sites.
An MCP server for the Pebble smartwatch ecosystem, offering appstore search, a 64-color design toolkit, and build-emulator-screenshot development workflows as typed tools.
Visual feedback as agent work packets: stakeholders pin on your live app and your AI coding agent reads each pin (selector, screenshot, DOM, thread, acceptance criteria) via MCP and ships the fix.
An MCP server for image understanding via OpenAI-compatible vision models, offering tools for OCR, error screenshot diagnosis, technical diagram reading, data visualization analysis, UI-to-code conversion, and UI diff comparison.
Enables programmatic control and AI-driven E2E testing of iOS virtual machines by exposing display, touch input, and navigation tools. It provides hardware key emulation, app navigation, and raw touch interactions with inline screenshot feedback for real-time visual context.
Vision-capable MCP server for controlling Amazon Fire TV through Home Assistant, providing screenshot-guided observation, remote commands, and app/URI actions via authenticated REST calls.
MCP server for controlling TouchDesigner from AI coding agents like Claude Code and Codex CLI, enabling operator manipulation, parameter control, and screenshot capture.
Exposes Selenium WebDriver as an MCP server, enabling AI agents and LLMs to control real browsers for automation tasks like navigation, element interaction, and screenshot capture.
Enables MCP clients to leverage the Intel Arrow Lake NPU for local speech transcription, screenshot OCR, private semantic search, and hardware diagnostics, all processed locally.
An MCP server that enables users to control a full Chrome browser running in a Daytona cloud sandbox, allowing web browsing, interaction, and screenshot capture through Claude or other MCP clients.
An MCP server providing robust browser automation tools for AI assistants, including page navigation, element interaction, and screenshot capabilities. It leverages the DrissionPage library to enable standardized DOM analysis, network monitoring, and complex web task automation.
Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.