# Kerneldev MCP

> Use this tool when you need to automate and optimize Linux kernel configuration management and building. It solves problems related to kernel customization, error detection, and build optimization, and takes input parameters for kernel configuration and outputs optimized kernel builds. Ideal for use cases requiring intelligent kernel management, such as AI-driven system development and deployment.

Canonical page: https://skillsregistry.net/skills/josefbacik-kerneldev-mcp  
JSON: https://api.skillsregistry.net/v1/skills/josefbacik-kerneldev-mcp

## Description

An MCP server for intelligent Linux kernel configuration management and building. Enables AI assistants to generate, manage, and optimize kernel configurations and build kernels with comprehensive error detection.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xa15g8jsoy)
- **Repository:** <https://github.com/josefbacik/kerneldev-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": "josefbacik-kerneldev-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/josefbacik-kerneldev-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/josefbacik-kerneldev-mcp/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