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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.
    8
    MIT
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    Enables controlling a Dirtywave M8 over USB by reading its screen as text, pressing buttons, playing notes, and retrieving system information through MCP tools.
    7
    MIT
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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.
    8
    1
    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.
    14
    12
    MIT
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    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.
    84
    542 PyPI
    1
    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.
    66
    MIT
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    Enables MCP clients to connect to and interact with Siemens PLCs via python-snap7, supporting read/write operations on data blocks, memory, timers, counters, and CPU management.
    22
    MIT
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    Enables MCP clients to identify connected drives, read/write and back up parameters, control speed and positioning, capture oscilloscope data, flash firmware, and run validation workflows through existing Drivesoft communication components.
    54
    MIT
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    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.
    45
    2
    MIT
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    Enables AI clients to create, configure, validate, and generate STM32CubeMX projects through 113 MCP tools, including pin, clock, peripheral, RTOS, and middleware setup plus C code generation. It can drive an installed CubeMX engine or run fully standalone using a bundled data pack with real pin and mode validation.
    113
    MIT
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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.
    2
    MIT
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    Enables AI agents to query a verified, sourced knowledge base about NVIDIA Jetson devices via the Model Context Protocol, with every claim cited and knowledge gaps explicitly stated.
    1
    Apache 2.0
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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.
    9
    Apache 2.0
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    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.
    25 npm
    MIT
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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.
    4
    Apache 2.0
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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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    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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    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.
    1
    MIT
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    An open-source MCP server that bridges AI models with industrial equipment, supporting multiple protocols like Modbus, OPC UA, and MQTT for reading data and controlling machines.
    2
    Apache 2.0
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    MCP server that exposes RS485 bus connectivity, enabling AI assistants to read and write serial data to RS485 devices through tools like list_ports, connect_rs485, and read_rs485.
    MIT
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    Serves verified register data extracted from chip datasheets to AI coding agents, enabling register lookup, bit-field decode/encode, errata checks, document search, and init sequence retrieval.
    MIT
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    Enables an AI assistant to read diagnostic data from BMW vehicle control units through EDIABAS, including checking connectivity, listing ECUs and jobs, describing jobs, reading faults, and running read-only jobs.
    MIT
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    Enables LLMs to interact with vehicle CAN bus and OBD-II data through a simulated ECU environment. Provides tools for reading frames, decoding messages via DBC files, monitoring signals, and querying automotive diagnostics without requiring physical hardware.
    36 PyPI
    25
    MIT
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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 agents to look up ESP32-S3 PIE instruction encodings, pipeline use/def stages, register and peripheral-address data, and to estimate instruction-sequence stalls, with every answer cited to a specific page of the official Espressif TRM or Datasheet. It explicitly reports what the primary sources do not cover rather than guessing.
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