"A motion capture platform (MCP) for real-time text-to-speech (TTS) integration" matching MCP servers:

Enables AI agents and humans to control various hardware boards (ESP32, Arduino, Raspberry Pi, etc.) through a unified API via MCP, with real-time dashboard support.

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

MCP server for controlling CNC machines via Universal GCode Sender. Lets Claude (or any MCP-compatible AI assistant) connect to a CNC machine, inspect G-code, and issue motion commands — all through the UGS Pendant REST API.

Enables AI assistants to compile, upload, and monitor Arduino boards via natural language, with electrical safety checks and dependency management.

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.

MCP server for running shell commands on a Linux development board via UART serial.

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

A local stdio MCP server for embedded firmware automation that exposes tools to build, flash, reset devices, and capture serial logs through a device configuration file.

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.

Enables AI assistants like Claude to interact with KiCAD for PCB design automation, providing comprehensive tool schemas and real-time project state access.

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.

Enables control and querying of Rigol DHO824 oscilloscopes, allowing users to capture waveforms, take screenshots, and interact with oscilloscope settings through natural language.

Enables natural language command control of robots via ROS2, with a web portal for real-time visualization and interaction.

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.

Enables agents to query LAVA board farms, submit and manage test jobs, and open interactive board sessions via the LAVA REST API.

Enables AI assistants to control Saleae Logic analyzers, capture and analyze digital/analog signals, and export data via MCP.

Local MCP server for building an agent-facing integration around DreamSourceLab DSView. Enables native logic capture, protocol decode, and analysis with artifact management for I2C, SPI, and UART.

Monitors robotic joint actuator thermal and torque loads, triggering preventative throttling for DJI/Robomaster hardware and enabling real-time actuator safety supervision through MCP.

Enables MCP clients to control a Nordic PPK2 for power profiling: configure source/measurement modes, set voltage, power DUT, measure current/power/energy, and capture logic channels.

This MCP server acts as a local stdio proxy for whatic.io's remote IC-discovery server, enabling MCP clients to search electronic components and retrieve part specs, comparisons, and images.