# McuBuddy

> McuBuddy — cunjun-mcubuddy. Use this tool when you need to debug and diagnose issues in MCU and embedded firmware, as it provides AI-assisted inspection of CPU, memory, and peripherals, and manages builds and evidence for fault diagnosis. McuBuddy connects to real hardware via debug probes, allowing for efficient troubleshooting and testing. It is ideal for use cases where structured evidence and automated debugging are required to resolve complex firmware issues.

Canonical page: https://skillsregistry.net/skills/cunjun-mcubuddy  
JSON: https://api.skillsregistry.net/v1/skills/cunjun-mcubuddy

## Description

MCP server for AI-assisted MCU and embedded firmware debugging. It connects to real hardware via debug probes, inspects CPU/memory/peripherals, manages Keil builds, and provides structured evidence for fault diagnosis.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pvmh18pt3m)
- **Repository:** <https://github.com/cunjun/McuBuddy>

## 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": "cunjun-mcubuddy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cunjun-mcubuddy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cunjun-mcubuddy/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