# Questionnaire Component Governance MCP Demo

> Use this tool when you need to manage and enforce component governance rules, validate component properties, or generate development prompts for questionnaire editors. It solves problems related to component standardization, data validation, and content creation, providing inputs such as component rules and properties, and outputs like validated props and development prompts. Ideal for use cases involving questionnaire development, component management, and AI-driven content generation.

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

## Description

Enables AI agents to query component governance rules, validate component props, and generate development prompts for questionnaire editors.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aphc6czu1l)
- **Repository:** <https://github.com/Ceeeebb/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": "ceeeebb-mcp"
    }
  }
}
```

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