"Two agents working simultaneously" matching MCP servers:

Provides AI agents with instant, structured access to electronic component datasheets, pinouts, and electrical specifications without requiring PDF uploads. It enables seamless part searching, design validation, and side-by-side component comparisons across major hardware providers.

Enables AI agents to control serial port devices (modems, instruments, embedded boards) via MCP tools for listing ports, connecting, and sending/receiving commands.

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

Enables controlling multiple USBTMC (USB Test and Measurement Class) devices simultaneously using SCPI commands through a unified MCP interface.

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

An MCP server that enables AI agents to operate an oscilloscope through high-level tools like signal capture and measurement, abstracting vendor-specific SCPI commands.

An MCP server that lets AI agents control an RS PRO RS-3005P/RS-6005P programmable DC power supply over USB/RS232, enabling voltage/current control, measurements, output switching, and memory operations.

Enables AI agents to control and display real-time notifications, telemetry, and custom apps on Ulanzi TC001 and compatible pixel clocks running Awtrix Light, including device management and declarative YAML-based metric polling.

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.

Allows AI agents to interact with serial devices via RS232/UART, enabling port listing, connection, read/write, control line manipulation, and protocol specification for automated debugging and testing.

MCP server enabling AI agents to search FTC SDK samples, scaffold OpModes, build and deploy TeamCode to REV Control Hub, and read robot logs for a full code-robot-debug loop.

A Model Context Protocol (MCP) server for ROS 2 that enables GitHub Copilot and other AI agents to interact with ROS 2 systems. This server provides tools for monitoring, debugging, and managing ROS 2 nodes, topics, services, and TF2 frames.

A stateful Bluetooth Low Energy (BLE) MCP server that enables AI agents to scan, connect, read/write characteristics, and subscribe to notifications on BLE devices.

A read-only MCP server for AI agents to understand KiCad projects through progressive disclosure, providing compact summaries and drill-down tools for components, nets, traces, and ERC/DRC checks without blowing context budgets.

Enables AI agents to discover, monitor, and control industrial hardware like ESP32 machine controllers and inspection cameras through a standardized MCP interface.

Enables AI agents to debug embedded systems by providing a comprehensive interface for GDB operations across multiple architectures like ARM and x86. It supports remote debugging via gdbserver or QEMU, allowing for detailed inspection of memory, registers, stack frames, and variables.

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.

Stateful MCP server for driving debug probes (J-Link) to flash, debug, and inspect embedded targets. Enables AI agents to perform flash, memory, breakpoint, and ELF/SVD-aware operations conversationally.

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.

An MCP server that judges hardware behavior against timing or serial contracts, returning pass/marginal/fail verdicts for coding agents to iterate on real signal measurements.