# KPC Component Library MCP Server

> Use this tool when you need to generate accurate AI code for KPC component libraries, solving hallucination problems by providing reliable component APIs, validation rules, and usage examples. It takes in component specifications as input and outputs validated code, streamlining the development process. Ideal for use cases where precise code generation is crucial, such as building robust and reliable AI models.

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

## Description

AI code generation service for KPC component library that solves hallucination problems by providing accurate component APIs, validation rules, and usage examples.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ndo979652a)
- **Repository:** <https://github.com/kregyu/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": "kregyu-mcp"
    }
  }
}
```

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