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mcp-server-eu-ai-act MCP Server

vinkius-labs/mcp-server-eu-ai-act

Score: 40.4 Rank #100 Agent Framework
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EU AI Act Risk Assessor - MCP server that classifies AI use cases under Regulation (EU) 2024/1689 with deterministic precision. Built with Vurb.ts

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Overview

vinkius-labs/mcp-server-eu-ai-act is a TypeScript MCP server. EU AI Act Risk Assessor - MCP server that classifies AI use cases under Regulation (EU) 2024/1689 with deterministic precision. Built with Vurb.ts Topics: european-union, gdpr, gdpr-mcp-server, mcp-servers, vurb, vurb-framework.

Ranked #100 out of 100 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

TypeScript NOASSERTION
european-uniongdprgdpr-mcp-servermcp-serversvurbvurb-framework

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 0%

0/1 issues closed → many open issues

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Good
License NOASSERTION

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Issue Health high impact

You have 1 open vs 0 closed issues — triaging stale issues improves health

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From the README

# 🇪🇺 EU AI Act Risk Assessor

> MCP server that classifies AI use cases under **Regulation (EU) 2024/1689** with deterministic precision. Built with [Vurb.ts](https://github.com/vinkius-labs/vurb.ts).

## Why This Exists

Every AI company in the EU needs to know: **is my AI system legal?**

The EU AI Act defines four risk tiers — from **Unacceptable** (banned) to **Minimal** (no obligations). Misclassification means fines up to **€35 million or 7% of global revenue**.

This MCP server gives any LLM client deterministic, auditable risk classification — zero hallucination on compliance.

## Architecture

```
User describes AI use case (natural language)
        ↓
LLM translates → structured input (Zod-enforced enums/booleans)
        ↓
MCP applies legal matrix → deterministic verdict
        ↓
Presenter formats → rules, UI, suggested actions
        ↓
LLM presents result to user
```

**LLM = Semantic Translator** · **MCP = Implacable Judge**

The LLM handles what it does best (understa
Read full README on GitHub →

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