"Information about web browsing" matching MCP servers:

Enables natural language command control of robots via ROS2, with a web portal for real-time visualization and interaction.

A headless MCP server that enables AI tools (like Claude Code) to read and analyze serial logs from embedded boards (ESP32, STM32) for firmware debugging, with read-only tools for log retrieval and a built-in web viewer.

Enables controlling a Dirtywave M8 over USB by reading its screen as text, pressing buttons, playing notes, and retrieving system information through MCP tools.

Enables AI agents to search a catalog of MCP servers for physical hardware such as ESP32, Arduino, Raspberry Pi, 3D printers, Home Assistant devices, cameras, Zigbee and lab gear, returning install commands and ready-to-paste client configs. It also supports browsing device families and getting ranked recommendations for a specific device or model.

MCP server for managing large fleets of BLE devices with connection pooling, scheduling, retries, and partial-failure handling. Enables AI agents to run fleet-level reads/writes without worrying about radio connection limits.

Talk to your Flipper Zero from Claude Code — or any MCP client. Storage, app deployment, screen capture, button automation, JavaScript execution on the device, and honest answers about what is nearby.

Build, deploy, and debug Smart TV web apps on Samsung Tizen and LG webOS TVs from any AI agent.

Enables AI agents to manage MicroPython and CircuitPython boards over USB, including listing boards, browsing and editing files, running Python code, resetting boards, and installing firmware.

MCP server for inspecting PX4 ULog flight logs, enabling AI assistants to understand, debug, and reason about drone systems.

This MCP server enables AI models to interact with ESP32 devices, providing built-in tools for web search, note management, calculator, and custom tools like todo lists and timers.

Enables author models to preview and publish e-paper notes, lays them out for a 540×960 e-ink screen, and delivers them to ESP32-S3 devices with a web console for device, layout, and configuration management.

Enables AI agents to query a verified, sourced knowledge base about NVIDIA Jetson devices via the Model Context Protocol, with every claim cited and knowledge gaps explicitly stated.

A Model Context Protocol (MCP) based server that efficiently manages PDF files, allowing AI coding tools like Cursor to read, summarize, and extract information from PDF datasheets to assist embedded development work.

Enables AI-powered automotive diagnostics by connecting LLMs to vehicle ECUs over UDS/CAN, indexing workshop manuals locally, and augmenting with web search, while enforcing a human-in-the-loop approval gate for any write operations.

Connects AI assistants to physical devices via MCP, enabling LLMs to reason about sensor data, perform cross-device correlation, and interpret anomalies.

Linkr KVM MCP Server exposes Radxa Linkr KVM controls through the Model Context Protocol (MCP). It lets an MCP client capture screenshots, crop screen areas, send keyboard and mouse events, type text, wait for on-screen text, and ask vision/OCR models about the current screen.

Enables agents to turn a plain-language description of a device into a complete, validated build package — parts list, 3D-printable parts, wiring, firmware code, picture assembly guide, and tests — that anyone can assemble without electronics experience.

Enables AI assistants to interact with SIEMENS PLC S7-1500/1200 controllers through their JSON-RPC API, supporting authentication, tag browsing, variable read/write operations, alarm management, and diagnostic buffer access.

Enables humans and AI agents to collaboratively control serial ports via MCP tools or Web UI, with real-time data sharing across all participants.