"google drive" matching MCP servers:

Serial and GDB/SWD MCP servers for real hardware: agents read consoles, drive U-Boot, set breakpoints, and probe unknown Cortex-M boards.

An MCP server that lets AI tools drive Keil uVision debugging sessions for ARM Cortex-M targets, enabling expression/variable reads, memory access, run control, breakpoints, and trace capture.

Enables MCP clients to drive a LEGO Mindstorms EV3 over Wi-Fi SSH, with tools for movement, turning, stopping, beeping, and listing connected devices. Includes a CLI chat client that translates natural language into robot commands via Hugging Face Inference Providers.

Drive a Flipper Zero wirelessly over Bluetooth LE from Claude.

Enables MCP-capable agents to drive a real FPGA toolchain end to end—simulating, asserting, synthesizing, scanning JTAG, capturing on-chip waveforms, and configuring real silicon behind confirmation gates.

This server enables AI coding agents to build, boot, drive and test ESP-IDF firmware in a local ESP32 emulator, capturing UART logs, injecting hardware events, asserting output, and taking screenshots without a physical board or cloud account.

Let an AI agent drive up to 12 hobby servos on an open-hardware USB-C controller (Pololu Maestro compatible): moves, named poses, sequences, on-board scripts and rail current/voltage readout, with per-channel travel limits and overcurrent guardrails. Includes a --mock emulator, so it runs without the board.

Enables an agent to drive the Bambu Lab CyberBrick desktop app over the Chrome DevTools Protocol, covering the whole device setup workflow — planning hardware connections, authoring and reading firmware configuration, managing projects, and flashing firmware, MPY and config files to boards.

Serial terminal with a GUI that AI assistants drive over MCP: read device logs and send commands.

Lets an AI assistant drive AMD/Xilinx Vivado without the GUI to create projects, build block designs, synthesize, implement, simulate, read reports, and generate bitstreams. Includes first-class Red Pitaya STEMlab 125-14 support for RTL and PS+PL builds and SSH deployment.

Enables an AI agent to drive a Beckhoff TwinCAT 3 setup end to end: read and write live PLC variables and system state over ADS, manage files and processes on the target IPC, build and edit projects through the XAE automation interface, capture and analyze long-running signal recordings, run scripted test benches and TcUnit suites, and look up the official Beckhoff Infosys documentation. Runs as a single Python process on the engineering PC with read-only, guarded, and full safety modes plus human-in-the-loop confirmation for destructive operations.

Enables an MCP client to drive CST Studio Suite 2026 through its official Python automation API, covering 3D modelling, materials, ports, boundaries, mesh and solver configuration, solver runs, and result reading. Also provides verification and export tools — S11, reference impedance, port diagnostics, energy budget and model audit — plus Touchstone/ASCII/JSON evidence output and parameter sweeps, all locally over stdio.

An MCP server that lets AI coding agents drive the full STM32 development loop—code generation, build, flash, debug, serial monitoring, and fault diagnosis—end to end via CubeIDE, CubeMX, CubeProgrammer, OpenOCD, and GDB.

Enables AI clients to create, configure, validate, and generate STM32CubeMX projects through 113 MCP tools, including pin, clock, peripheral, RTOS, and middleware setup plus C code generation. It can drive an installed CubeMX engine or run fully standalone using a bundled data pack with real pin and mode validation.

Runs locally over stdio to read MSS54HP DME BIN images and Testo/TUNER drive logs, then proposes VE map and rf_korr corrections with evidence for each cell. Also reports what is in a BIN, whether its checksums are right, and why log samples were discarded.

Lets any MCP-capable AI and a human share a single serial port through one resident daemon, so the AI can read device output, send commands, and drive embedded boards alongside an engineer. It also performs atomic expect→send matching to win sub-second races such as U-Boot countdowns and login prompts, while keeping reads bounded for context hygiene.

Enables AI coding assistants to drive Xilinx Vivado through natural language, letting users open .xpr projects, run synthesis, implementation, and bitstream generation, inspect timing, resource, and clock reports, and launch simulations to read signal values or set breakpoints. It also exposes design hierarchy queries and arbitrary TCL execution, so FPGA design flows can be operated conversationally on Windows.

Enables Claude Code to drive ctrlX PLC Engineering (CODESYS V3) through the CODESYS Scripting Engine, including reading and writing POUs, building, going online, starting/stopping, accessing variables, and recording traces.

Exposes 238 schema-typed tools over streamable-HTTP MCP that let a client drive a Flipper Zero, an AWOK Biscuit (ESP32-C5) and an ESP32 Marauder — scanning, screen mirroring, storage, and other device operations — from natural-language or direct tool calls. Transmit/attack tools stay behind an explicit human confirmation gate.

Enables MCP clients and AI agents to drive PlatformIO embedded workflows including board discovery, project setup, build, flash, monitor, diagnostics, and task orchestration, with policy-gated approvals and dashboard visibility.