# mcp-stm32-server

> mcp-stm32-server — propfire11-mcp-stm32-server. Use this tool when you need to control and interact with an STM32 microcontroller using natural language commands, enabling tasks such as reading and writing GPIO, adjusting LED brightness, and displaying text on an OLED screen. It solves problems related to automated control and monitoring of microcontroller-based systems, providing a user-friendly interface for AI assistants to send and receive data over serial connection. Ideal for use cases requiring voice or text-based control of embedded systems, such as home automation or robotics projects.

Canonical page: https://skillsregistry.net/skills/propfire11-mcp-stm32-server  
JSON: https://api.skillsregistry.net/v1/skills/propfire11-mcp-stm32-server

## Description

Enables AI assistants to control an STM32 microcontroller over serial by reading/writing GPIO, setting LED brightness, reading ADC channels, and displaying text on an OLED screen via natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/let3grkj7u)
- **Repository:** <https://github.com/propfire11/mcp-stm32-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "propfire11-mcp-stm32-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/propfire11-mcp-stm32-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/propfire11-mcp-stm32-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt