# vHal MCP Server

> Use this tool when you need to develop and implement Vehicle Hardware Abstraction Layer (vHAL) properties for Android Automotive systems, such as climate control and seat management. It provides intelligent tools for property analysis, source code lookup, and automated code generation, streamlining the development process. With vHal MCP Server, developers can efficiently explore and implement vHAL properties, receiving implementation guidance and generating high-quality code for automotive systems.

Canonical page: https://skillsregistry.net/skills/feevlic-vhal-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/feevlic-vhal-mcp-server

## Description

Enables Android Automotive developers to explore and implement Vehicle Hardware Abstraction Layer (vHAL) properties with intelligent tools for property analysis, source code lookup, implementation guidance, and automated code generation for automotive systems like climate control and seat management.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **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:** [Glama](https://glama.ai/mcp/servers/podq0692uc)
- **Repository:** <https://github.com/feevlic/vhal-mcp-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": "feevlic-vhal-mcp-server"
    }
  }
}
```

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

---
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