# AI Hardware-in-the-Loop

> Use this tool when you need to automate and verify hardware interactions with AI systems, solving problems such as hardware anomalies, firmware debugging, and performance optimization. It provides a comprehensive interface with 50+ tools, supporting inputs from serial communication, vision inspection, and sensor data, and outputs verified firmware fixes and performance profiles. Ideal for use cases requiring closed-loop verification and autonomous debugging of hardware and firmware interactions.

Canonical page: https://skillsregistry.net/skills/kuochenfu-ai-hil  
JSON: https://api.skillsregistry.net/v1/skills/kuochenfu-ai-hil

## Description

Comprehensive hardware-in-the-loop automation system providing 50+ tools across 8 specialized MCP servers. Covers serial communication, JTAG debugging, camera-based vision inspection, power profiling, firmware building and flashing, power control, SDR, and thermal/microphone sensing. Supports closed-loop verification where AI autonomously detects hardware anomalies, diagnoses root causes, and verifies firmware fixes. Dual Python and Rust implementations tested on STM32WL55, ESP32-S3, and Nordic PPK2 hardware.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kuochenfu-ai-hil)
- **Repository:** <https://github.com/kuochenfu/ai-hil-mcp>

## 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": "kuochenfu-ai-hil"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kuochenfu-ai-hil` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kuochenfu-ai-hil/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