"Repository information for My-FastMCP-Development-Assistant-MCP on GitHub" matching MCP servers:

Enables MCP-speaking coding agents to talk directly to Home Assistant and the ESPHome dashboard: discovering entities and areas, reading live states, history and logs, rendering Jinja templates, calling services, and creating, editing or triggering automations and dashboards. Also allows ESPHome device configs to be read, validated, compiled and flashed, with all write operations off by default behind an explicit safety policy.

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.

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

Enables ESP-IDF firmware development through MCP by providing tools to manage ESP32 targets, serial ports, and project compilation/building operations.

Enables AI clients to compile and upload Arduino sketches, manage boards, cores, and libraries via arduino-cli, scaffold projects, and read serial output over stdio.

Runs a Model Context Protocol server directly on Axis cameras, enabling any MCP-capable AI to inspect and control the camera without cloud or middleware.

An MCP server for Nordic nRF Connect SDK development that enables users to list, read, and search documentation and sample code from the nrfconnect/sdk-nrf repository. It provides Claude with specialized tools to navigate SDK resources, source files, and configuration examples directly through the GitHub API.

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

AI-driven USB oscilloscope control via FastMCP, enabling waveform capture, CSV export, and frequency measurements on PicoScope, Hantek, or a built-in simulator.

Enables local MCP clients to run Sailfish OS device, SDK, OBS, and Android/AppSupport development workflows via typed tools for SSH access, screenshots, touch injection, builds, logs, services, and repository checks.

A comprehensive Model Context Protocol (MCP) server for Arduino CLI interactions, built with FastMCP. This server enables AI agents to seamlessly interact with Arduino CLI for development, debugging, code verification, and more.

An MCP server for controlling Rigol oscilloscopes from an AI assistant. It translates MCP tool calls into SCPI commands over PyVISA.

An MCP server that lets you define and run custom shell commands via YAML templates, with built-in tools for flashing and serial communication in embedded development.

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.

A Model Context Protocol server for HarmonyOS development, enabling AI assistants to interact with HarmonyOS projects, devices, and applications.

Enables users to manage Android ROM projects through MCP by importing, unpacking, repacking, and synthesizing images, DAT/BR files, and super partitions using the toolkit’s shared workflows.

AI-driven USB logic analyzer control via FastMCP. Captures digital traces, decodes UART/I2C/SPI, and exports VCD for PulseView, supporting sigrok hardware and built-in simulator.

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

MCP server for ADALM2000 (M2k) — AWG, scope, and PSU control via FastMCP 3.4.

A minimal MCP server providing synthetic embedded components and NTC fault codes, designed for hands-on workshop exercises with GitHub Copilot Chat Agent mode.