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    Exposes tools for AI assistants to query a persistent SQLite+FTS5 index of C/C++ symbols parsed from real build commands, enabling sub-millisecond lookup, full-text search, and natural-language explanation without hallucination.
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    MIT
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    An MCP server that enables AI assistants to control Siglent SDS oscilloscopes over a local network using SCPI commands. It allows users to measure signals, configure channel and acquisition settings, and capture waveforms or screenshots through natural language.
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    MIT
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    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.
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    MIT
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    Enables AI tools to program Microchip AVR microcontrollers via natural language by wrapping pymcuprog, supporting USB HID debuggers and serial UART UPDI adapters.
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    MIT
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    Enables controlling robots in ROS environments through natural language, supporting topics, services, actions, and GUI tools.
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    MIT
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    Enables AI assistants to interact with STM32 development boards via J-Link debugger using RTT communication, supporting connection, logging, memory operations, and firmware flashing through natural language.
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    MIT
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    Bridges Claude Code to CNCjs to enable remote control and monitoring of GRBL-based CNC machines. It provides a comprehensive toolset for managing G-code jobs, machine movement, and safety operations through natural language.
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    MIT
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    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.
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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 read-only access to Beckhoff TwinCAT PLCs via ADS, allowing queries of device info, symbols, variables, and EtherCAT diagnostics through natural language.
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    MIT
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    Enables automated generation of FreeRTOS embedded projects for chips like BK7252, STM32F4, and ESP32. Provides intelligent project structure creation, peripheral driver code generation, and complete embedded development workflows through natural language interaction.
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    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.
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    Apache 2.0