# mcp-stm32cubeide-server

> mcp-stm32cubeide-server — helistana-mcp-stm32cubeide-server. Use this tool when you need to automate the STM32 development process, from code generation to fault diagnosis, to streamline embedded system development and testing. It solves problems related to manual coding, debugging, and flashing of STM32 microcontrollers, providing a seamless interface for AI agents to input code and receive output logs, debug information, and serial monitor data. Ideal for use in automated testing, continuous integration, and DevOps environments where efficiency and reliability are crucial.

Canonical page: https://skillsregistry.net/skills/helistana-mcp-stm32cubeide-server  
JSON: https://api.skillsregistry.net/v1/skills/helistana-mcp-stm32cubeide-server

## Description

An MCP server that lets AI coding agents drive the full STM32 development loop—code generation, build, flash, debug, serial monitoring, and fault diagnosis—end to end via CubeIDE, CubeMX, CubeProgrammer, OpenOCD, and GDB.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zke1yayw1y)
- **Repository:** <https://github.com/Helistana/mcp-stm32cubeide-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": "helistana-mcp-stm32cubeide-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/helistana-mcp-stm32cubeide-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/helistana-mcp-stm32cubeide-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