Compliance Shield
FreeNot checkedEnables EU AI Act compliance for AI agent systems by providing risk classification, audit trails, gap analysis, and evidence package generation.
About
Enables EU AI Act compliance for AI agent systems by providing risk classification, audit trails, gap analysis, and evidence package generation.
README
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+zodonly- In-memory Maps (no external dependencies)
- stdio transport
License
MIT
Installing Compliance Shield
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/mdfifty50-boop/compliance-shield-mcpFAQ
Is Compliance Shield MCP free?
Yes, Compliance Shield MCP is free — one-click install via Unyly at no cost.
Does Compliance Shield need an API key?
No, Compliance Shield runs without API keys or environment variables.
Is Compliance Shield hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Compliance Shield in Claude Desktop, Claude Code or Cursor?
Open Compliance Shield on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzMCP-Agent
A simple, composable framework to build agents using Model Context Protocol by [LastMile AI](https://www.lastmileai.dev)
by lastmile-aiSpring AI MCP Client
Provides auto-configuration for MCP client functionality in Spring Boot applications.
mcp.natoma.ai
A Hosted MCP Platform to discover, install, manage and deploy MCP servers by [Natoma Labs](https://www.natoma.ai)
MCPHub
Website to list high quality MCP servers and reviews by real users. Also provide online chatbot for popular LLM models with MCP server support.
MCP Servers Rating and User Reviews
Website to rate MCP servers, write authentic user reviews, and [search engine for agent & mcp](http://www.deepnlp.org/search/agent)
mkinf
An Open Source registry of hosted MCP Servers to accelerate AI agent workflows.
Compare Compliance Shield with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
