"Information about Supabase Platform Features" matching MCP servers:

Enables AI agents and humans to control various hardware boards (ESP32, Arduino, Raspberry Pi, etc.) through a unified API via MCP, with real-time dashboard support.

MCP server for interacting with NI DAQ hardware, supporting analog/digital I/O and waveform acquisition, with safety features and simulation mode.

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.

MCP server that enables AI assistants to debug IoT modules by sending AT commands over serial ports, with a built-in knowledge base for chip platform commands.

Provides AI assistants with a complete FPGA toolchain for HDL linting, simulation, synthesis, and place-and-route across various hardware targets. It features a GitHub-backed IP core registry that enables users to search for and import MIT-licensed cores directly through their chat interface.

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.

MCP server for NetCraze routers enabling management of static DNS hosts, system info, network interfaces, and other router features via Cursor and MCP clients.

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

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.

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 AI agents to control hardware devices like Arduino, Raspberry Pi, 3D printers, CNC machines, and custom robots via serial ports and HTTP. Provides tools for device discovery, command sending, sensor reading, servo control, G-code execution, and emergency stops with safety features.

Argus is an Arm-native, MCP-enabled diagnostic and optimization platform for ROS 2 that bridges the gap between Arm hardware capabilities and ROS 2 deployment decisions. It enables AI agents to profile hardware, assess ROS 2 tiers, and generate optimized configurations.

MCP server for operating, recording, and analyzing serial-connected measurement instruments and circuits via AI agents. Includes a built-in mock device so all features can be tested without physical hardware.