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"Methods to Communicate with AI Platforms: Litellm, GroqAI, and OpenAI" matching MCP servers:

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    A professional MCP server for serial port communication, enabling AI assistants to list, connect, send/receive data, and manage serial connections with embedded systems, IoT devices, and hardware debugging hardware.
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    MIT
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    Enables GDB debugging for embedded development workflows, allowing users to start sessions, load programs, set breakpoints, step through code, and examine memory/registers/variables via natural language.
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    MIT
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    Enables AI agents to communicate with UART/serial devices, offering tools for port management, data read/write, and protocol handling.
    MIT
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    MCP server for embedded debugging based on probe-rs, providing 22 tools for ARM Cortex-M and RISC-V microcontrollers, including connection, memory operations, breakpoints, flash programming, and RTT communication.
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    MIT
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    Enables Claude Code to build, flash, and communicate with STM32 hardware over SWD and serial, including multi-board management, live memory monitoring, and hardware sequences.
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    MIT
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    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.
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    MIT
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    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.
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    MIT
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    Enables AI assistants to communicate with serial port devices, supporting port management, data transmission in text/binary modes, interactive terminal sessions, and automatic reconnection.
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    MIT
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    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.
    MIT
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    Enables AI assistants to debug ARM Cortex-M targets via GDB and OpenOCD, supporting attach, breakpoints, stepping, register/memory inspection, and SVD peripheral decoding.
    MIT
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    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.
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    MIT
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    An MCP server that provides comprehensive debugging capabilities for J-Link debuggers, enabling memory, flash, register, and RTT operations through AI assistants.
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    MIT
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    MCP server for Reachy Mini robot that exposes robot state and motion control to LLM frontends like Claude Desktop.
    MIT
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    Enables AI agents to interact with an ArduPilot vehicle in real-time via MAVLink, including reading state, inspecting and changing parameters, switching flight modes, diagnosing arming failures, and gated arming/disarming.
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    MIT