An MCP server for source-grounded, page-cited evidence retrieval tailored for embedded and firmware development, returning verbatim snippets with exact citations or 'no match' to prevent fabrications.
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 for Beckhoff TwinCAT XAE / TE1000 Automation Interface, enabling control of XAE Shell, TwinCAT tree manipulation, PLC operations, and build actions via natural language.
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.
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.
An open-source MCP server that turns natural language hardware descriptions into complete, buildable projects including circuits, firmware, 3D-printable enclosures, PCB files, and documentation.
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.
Enables AI assistants to debug ARM Cortex-M targets via GDB and OpenOCD, supporting attach, breakpoints, stepping, register/memory inspection, and SVD peripheral decoding.
Provides tools to search and retrieve LILYGO hardware documentation, including product listings, full specs, and sectioned guides, with live fetching from GitHub.
Provides AI assistants with tools for Arm architecture development, migration, and optimization, including knowledge base search, code migration analysis, container inspection, assembly performance analysis, and workload performance testing.
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.
MCP server that provides semantic search and documentation for STM32 microcontrollers, with specialized agents and slash commands for embedded development assistance.
An MCP server that provides comprehensive debugging capabilities for J-Link debuggers, enabling memory, flash, register, and RTT operations through AI assistants.
MCP server for deterministic Vivado FPGA automation including project scaffolding, simulation, synthesis, implementation, and gated bitstream generation.
MCP server for embedded board debugging, providing structured serial capture, crash decoding, and flash-safe port arbitration via bounded CLI and MCP tools.