compliance-shield-mcp

compliance-shield-mcp

Enables EU AI Act compliance for AI agent systems by providing risk classification, audit trails, gap analysis, and evidence package generation.

Category
Visit Server

README

compliance-shield-mcp

EU AI Act compliance audit trails and evidence generation for AI agent systems.

EU AI Act enforcement begins August 2, 2026. Fines up to 35M EUR or 7% of global annual turnover.

What it does

Runtime compliance layer that plugs into any MCP-compatible AI system to provide:

  • Risk Classification — Classify AI systems as Unacceptable, High, Limited, or Minimal risk per the EU AI Act framework
  • Audit Trails — Create and maintain decision logs with full traceability (input, output, reasoning, human oversight, model, confidence)
  • Gap Analysis — Identify missing compliance requirements with specific article references and actionable recommendations
  • Evidence Packages — Generate auditor-ready documentation suitable for regulatory submission
  • Enforcement Timeline — Track upcoming deadlines with days remaining and penalty structure

Install

npx compliance-shield-mcp

Claude Desktop

{
  "mcpServers": {
    "compliance-shield": {
      "command": "npx",
      "args": ["compliance-shield-mcp"]
    }
  }
}

Tools

Tool Description
assess_risk_level Classify an AI system under EU AI Act risk framework
create_audit_trail Start a compliance audit trail for an AI system
log_decision Log an AI decision with full traceability metadata
check_compliance_gaps Identify missing compliance requirements
generate_evidence_package Generate auditor-ready evidence documentation
get_enforcement_timeline Show upcoming enforcement deadlines and penalties

Resources

URI Description
compliance://timeline EU AI Act enforcement timeline
compliance://trails List all active audit trails

Quick Start

1. assess_risk_level → Know your risk classification
2. create_audit_trail → Start logging
3. log_decision (repeatedly) → Record every AI decision
4. check_compliance_gaps → Find what's missing
5. generate_evidence_package → Hand to your auditor

EU AI Act Key Dates

Date Milestone
Feb 2, 2025 Prohibited AI practices banned
Aug 2, 2025 Governance bodies operational
Aug 2, 2026 High-risk AI obligations enforced
Aug 2, 2027 Full enforcement for all AI systems

Architecture

  • Pure Node.js, ES modules
  • @modelcontextprotocol/sdk + zod only
  • In-memory Maps (no external dependencies)
  • stdio transport

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured