"Servers Offering MCP Prompts as Prompt Primitives" matching MCP servers:

MCP server providing embedded engineering calculators and code generators as tools for AI agents, enabling precise, deterministic embedded math and C code generation.

Enables AI agents to compile, flash, erase, and read serial output from embedded development boards, with guardrails such as budget limits, serial port mutexes, and mandatory human confirmation for destructive operations.

This MCP server acts as a local stdio proxy for whatic.io's remote IC-discovery server, enabling MCP clients to search electronic components and retrieve part specs, comparisons, and images.

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.

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.

Enables Claude Code sessions to control a Rigol DS1054Z oscilloscope over USB, reading identity, settings, measurements, screenshots and waveforms, and applying undoable or destructive changes such as channel, timebase, trigger and acquisition configuration, run control, autoscale and reset. Tool calls come with read-only and destructive hints so safe operations can be auto-approved while risky ones stay behind user approval.

AI-powered FPGA power estimation assistant that wraps Xilinx PDM API as MCP services for natural language power modeling and analysis.

Enables AI agents to perceive and quantitatively verify physical hardware through USB webcams and RTSP/HTTP network streams, returning inline image content plus numerical metrics such as brightness, contrast, edge density, motion, SSIM baseline comparisons, and OCR text. Agents can watch feeds for visual conditions, correlate buffered frames with serial/log/MQTT events, and apply privacy masks and access controls.

Enables LLMs to control a Nordic Power Profiler Kit II over USB serial for current capture (500 nA–2000 mA at 100 kSa/s plus 8 logic channels) and DUT power sourcing (0.8–5 V), with samples written to npz files. Also supports offline analysis such as statistics, activity/duty-cycle segmentation, and battery-life estimation.

Enables AI agents to communicate with serial devices such as Arduinos, ESP32s, USB-UART adapters, and RS-232 instruments by discovering ports, opening connections, sending commands, reading responses, and controlling reset lines.

Exposes ISO 14229 Unified Diagnostic Services as MCP tools, letting any MCP client run session control, DID reads and writes, DTC queries, routine control, security access and raw requests against a real ECU on a CAN bus or against a built-in simulator. A claim/release access model lets multiple clients safely share one device under test, with hardware-free simulation for offline test-plan development.

Enables AI agents to program MicroPython boards such as Raspberry Pi Pico and ESP32 through Thonny, with visible shell commands and optional human approval.

Enables AI agents to turn natural-language hardware prompts into deterministic schematics and netlists, query live LCSC parts data, validate designs, calculate trace impedance, and estimate PCBA BOM costs through stdio MCP tools and resources.

Lets MCP clients such as Codex control an ESP32 face through semantic expressions, status and capability reads, and neutral resets over a local STDIO or loopback HTTP interface.

Exposes the full Plexim PLECS Standalone JSON-RPC interface as MCP tools, letting agents auto-start and connect to PLECS to load and edit models, run simulations and analyses, manipulate scopes and webserver data, and perform code generation or FMU export with structured, size-aware results. Includes write guardrails, concurrency handling for long simulations, and batch/raw passthrough escape hatches.

Enables AI agents to build, flash, and debug STM32 projects compiled with Keil MDK-ARM on Windows, returning structured UV4 build diagnostics and evidence-based results. It also provides pyOCD/ST-Link debugging operations such as run control, breakpoints, register/PC reads, and global/static variable inspection.

Enables MCP clients like Cursor to control logic analyzers, open capture files, decode buses such as Intel 8080, and reconstruct display framebuffers like ST7789.

Enables firmware developers to use a MetaShunt V2 as a live current-measurement tool, with continuous ~6.2 kHz streaming, high-rate burst captures, threshold/edge triggering, and persistent capture sessions.

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.

Gives AI coding agents typed, bounded tools to boot QNX OS 8.0 QEMU targets, build with the QNX SDP toolchain, deploy and run programs under timeouts, and pull verified source-level backtraces from dumper core files. It also returns process/thread state and slog2 log output as structured JSON instead of free-text shell output.

MCP server that exposes all functionality of sigrok-cli as MCP tools, enabling hardware initialization, signal acquisition, and protocol decoding for logic analyzers.

Enables AI tools like Claude Code and Codex CLI to read and write serial port data, facilitating embedded development workflows such as coding, flashing, and debugging.

MCP server that provides tools, resources, and prompts to help LLMs build Svelte UI components for Q-SYS systems, including discovering components and controls from a Q-SYS Core.

MCP server for firmware verification in MCU development, exposing a five-stage pipeline (Detect, Review, Build, Flash, Verify) as tools for AI agents to compile, flash, and verify firmware on Arduino boards.

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 agents to communicate with UART/serial devices, offering tools for port management, data read/write, and protocol handling.

MCP server for BusPirate 6 hardware security testing. Exposes UART, SPI, I2C, 1-Wire, power supply, GPIO, and logic analyzer operations as tools.

Exposes 20 vehicle-security tools to AI coding agents such as Claude Code and Cursor, enabling them to send, fuzz, and analyze CAN frames, run UDS diagnostics and seed-key handshakes, simulate DoIP ECUs, and decode ISO-TP, J1939, DBC, and V2X data. Everything runs against a virtual CAN bus, so no vehicle or hardware is required.

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.