"Writing about MCP" matching MCP servers:

Enables LLMs to communicate with hardware devices via serial ports. Provides tools for listing ports, opening/closing connections, reading/writing data, and controlling serial signals.

Enables AI agents to design hardware by writing C-like HDL and compiling it to Verilog, with real toolchain verification including synthesis checks.

Enables LLMs to interact with embedded devices by reading and writing Segger RTT data through a J-Link debugger.

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.

Enables AI assistants to build and simulate Tinkercad Circuits through a real Chrome session, including placing parts, wiring pins, writing Arduino code, running simulations, and reading serial output.

Enables AI agents to directly inspect and debug embedded hardware: reading/writing serial ports and bus devices, auto-detecting baud rates, parsing Modbus/NMEA/custom binary frames, plus diagnosing failures through a 45-rule fault-pattern library, error-code tables, and compile/flash error translation. Also provides pin-conflict checking, register and Cortex-M fault decoding, pre-validated driver and component selection libraries, board knowledge, and guarded flashing with post-flash byte-level verification.

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.

An MCP server that exposes RS232 serial port connectivity, enabling listing, opening, reading, and writing to serial ports via tools and resources.

Enables an AI agent to reason about Kconfig trees (Linux, Zephyr, U-Boot, Buildroot) by explaining with file:line why a symbol can't be enabled, then returning the smallest change set that unlocks it, verified by applying it to the real tree. Also supports symbol inspection, select/imply tracing, regex search, config diffing and saving.

Serial communication and protocol analysis MCP server that gives AI coding assistants direct access to serial ports for reading, writing, decoding, and capturing embedded device output.

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

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.

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.

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

It lets any MCP-capable AI agent operate a real Siemens TIA Portal project — configuring hardware and networks, creating blocks, writing SCL, compiling, simulating via PLCSIM Advanced, and reading results back for verification. It runs locally alongside TIA Portal through Openness, so agents work with live projects rather than code snippets.

Enables AI assistants to control an STM32 microcontroller over serial by reading/writing GPIO, setting LED brightness, reading ADC channels, and displaying text on an OLED screen via natural language.

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.

Drives a SEGGER J-Link probe to debug microcontrollers, enabling firmware flashing, CPU halt/resume/reset/step, and reading or writing memory, peripheral registers and core registers. Also exposes an escape hatch for arbitrary J-Link Commander commands.

Enables LLM/AI editors to drive e!COCKPIT PLC automation projects through typed, schema-discoverable tools — building, importing, compiling, reading and writing online variables, snapshotting projects, and downloading to or managing files on a live PLC. Destructive operations such as download, write, stop, and PLC file put/rm are confirm-gated and carry destructiveHint annotations.

Enables AI assistants to interact with B\&R Automation Studio projects by building code, running ARsim simulators, and reading or writing OPC UA variables. It facilitates industrial automation development and real-time variable integration through natural language commands.