"How to convert a PDF file into Markdown format" matching MCP servers:

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.

Provides AI agents with instant, structured access to electronic component datasheets, pinouts, and electrical specifications without requiring PDF uploads. It enables seamless part searching, design validation, and side-by-side component comparisons across major hardware providers.

MCP server that translates natural language commands into SCARA robot arm control instructions, featuring simulation mode, safety validation, and multiple transport modes (STDIO/HTTP/OAuth).

Enables MCP clients to drive a LEGO Mindstorms EV3 over Wi-Fi SSH, with tools for movement, turning, stopping, beeping, and listing connected devices. Includes a CLI chat client that translates natural language into robot commands via Hugging Face Inference Providers.

An MCP server that turns Gowin EDA build reports into structured data.

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.

Enables LLMs to interact with embedded devices by reading and writing Segger RTT data through a J-Link debugger.

Provides LLMs with direct access to official vendor PDF documentation for electronics components (TI, ST, ADI) via a local SQLite full-text index and PDF retrieval tools.

MCP server enabling AI agents to search FTC SDK samples, scaffold OpModes, build and deploy TeamCode to REV Control Hub, and read robot logs for a full code-robot-debug loop.

Enables interaction with ESP32/MicroPython boards via tools for flashing firmware, running REPL code, file management, and serial capture, with support for progress notifications, cancellation, and error handling.

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.

A Model Context Protocol (MCP) server that exposes lnav log file analysis capabilities to AI assistants, specifically optimized for Kvaser Plain Text Log Frame CAN bus log processing.

Wraps Quartus II 9.1 command-line tools into MCP tools, enabling AI agents to create projects, assign pins, generate simulation waveforms, run simulations, compile, read reports, and program devices.

Enables SSH and UART/serial port access for Claude Code to directly control remote devices like Raspberry Pi, embedded systems, and IoT devices. Supports command execution, file transfers via SFTP, and serial communication.

Enables LLM agents to operate on KiCad by reading compressed schematics (TOON format), executing atomic tools, and updating context via delta and local area.

Enables LLM clients to control a LEGO Mindstorms NXT brick over USB, providing tools for motor movement, sensor reading, and querying device state.

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.

Enables AI assistants to connect to and control the IAR C-SPY debugger through MCP tools, supporting session lifecycle, run control, breakpoints, memory inspection, stack and locals viewing, disassembly, symbol lookup, and terminal I/O capture.

Enables AI coding assistants to perform complete headless STM32 embedded firmware development, including project creation, pin configuration, code generation, building, and flashing, by driving the official STM32 command-line toolchain.

MCP server for Reachy Mini robot that exposes robot state and motion control to LLM frontends like Claude Desktop.