Embedded / IoT Mentor MCP Server

Embedded / IoT Mentor MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Embedded/IoT mentor: picks the board and toolchain, estimates cost and battery life.

What you get

A skill for Claude that acts as an experienced embedded-systems mentor: it picks the microcontroller, board, and toolchain for your project, estimates what it will cost and how long it will take, and hands you a build plan that stops at a working breadboard instead of a production line you didn't ask for.

• Picks a platform — — ESP32, Pico, STM32, nRF52 — and says plainly why that one, plus one
• Separates the hardware path from the firmware path — , so you know what to buy and what to
• Checks whether you need to write firmware at all. — If ESPHome, Meshtastic or Tasmota
• Takes the reading all the way to a person — — Home Assistant, a page the device serves
• Estimates time and cost — as ranges, and flags what actually drives them — including
• Says what a sensor really measures. — Cheap "NPK" probes read conductivity and guess;

What the assistant can call

Once Embedded / IoT Mentor is connected, these are the calls the assistant has available:

• Where — One click
• Claude — Download embedded-iot-mentor.skill and open
• ChatGPT — Build the GPT — paste one file, upload the knowledge, 10 minutes
• Route — What you do
• Path — What it is
• embedded-iot-mentor.skill — Generated. A zip of the folder above — don't edit by hand
• package_skill.py — Builds, verifies, and installs the bundle
• embedded-iot-mentor-demo.gif — The recording shown at the top. Not bundled — the packer only takes the skill folder
• universal-prompt.md — The same mentor as a copy-paste prompt, for any AI chat that isn't Claude
• create_skill_demo_gif.py — Generates a mock-up demo GIF (assets/skill-demo-mockup.gif) from a scripted scenario, for when a real recording isn't available
• render.yaml — Blueprint behind the one-click deploy of that server. Has to sit at the root for Render to find it

Setting it up

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Embedded / IoT Mentor's toolset — Where, Claude, ChatGPT and 8 more — is a fair guide to whether it matches your workflow. It is maintained by mh-mansouri; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

• Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
• With 11 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Embedded / IoT Mentor.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the embedded / iot mentor mcp server does with a few real requests.