# eu-ai-act-checker-mcp

> eu-ai-act-checker-mcp — marilynceo-eu-ai-act-checker-mcp. Use this tool when you need to classify AI systems by EU AI Act risk category and assess compliance with regulatory requirements, such as prohibited practices and transparency obligations. It solves problems related to ensuring AI system adherence to EU regulations, including high-risk designation and conformity procedures. The tool takes AI system information as input and outputs a classification and compliance assessment, facilitating informed decision-making in the development and deployment of AI systems.

Canonical page: https://skillsregistry.net/skills/marilynceo-eu-ai-act-checker-mcp  
JSON: https://api.skillsregistry.net/v1/skills/marilynceo-eu-ai-act-checker-mcp

## Description

Classify AI systems by EU AI Act risk category, check prohibited practices (Art.5), assess high-risk designation (Annex I+III), GPAI obligations (Art. 51-56), transparency requirements (Art. 50), conformity procedures (Art. 43), and compliance deadlines.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/marilynceo/eu-ai-act-checker-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": "marilynceo-eu-ai-act-checker-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marilynceo-eu-ai-act-checker-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marilynceo-eu-ai-act-checker-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