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    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.
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    MIT
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    An OpenOCD debug MCP server that manages debugging targets and sessions by reusing VS Code launch configurations. It enables firmware flashing, GDB command execution, and real-time status monitoring of embedded systems.
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    MIT
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    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.
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    MIT
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    Enables AI assistants to control Betaflight flight controllers over serial via MSP and CLI, providing real-time sensor reads, full CLI access, and auto-generated variable tools for configuration and tuning.
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    AGPL 3.0
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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
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    A Model Context Protocol (MCP) based server that efficiently manages PDF files, allowing AI coding tools like Cursor to read, summarize, and extract information from PDF datasheets to assist embedded development work.
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    Apache 2.0
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    Connects AI assistants to physical devices via MCP, enabling LLMs to reason about sensor data, perform cross-device correlation, and interpret anomalies.
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    Apache 2.0
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    Enables AI assistants like Claude to interact with KiCAD for PCB design automation, providing comprehensive tool schemas and real-time project state access.
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    MIT
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    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.
    GPL 3.0
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    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.
    13
    MIT
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    Enables Large Language Models to act as co-debuggers for Texas Instruments embedded systems by providing real-time variable monitoring, memory manipulation, and motor control analysis through OpenOCD proxy architecture. Supports debugging TI microcontrollers with XDS110 debug probes while working alongside Code Composer Studio.
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    Enables humans and AI agents to collaboratively control serial ports via MCP tools or Web UI, with real-time data sharing across all participants.
    MIT
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    Enables AI assistants like Claude to control Arduino boards in real-time, allowing users to turn LEDs on and off through natural language commands using the Model Context Protocol and Firmata.
    11