mcpField
C
compliance-shield

compliance-shield

Local
github.com/mdfifty50-boopLegal & Government0Updated 27w ago
Repository

About compliance-shield

compliance-shield is an MCP server for EU AI Act risk classification, audit trails, gap checks, and evidence generation. It is intended for teams documenting AI agent systems and preparing compliance materials.

Key features

  1. 01按 EU AI Act 分类风险
  2. 02记录可追溯的 AI 决策
  3. 03识别合规要求缺口
  4. 04生成审计证据文档
  5. 05查看执法时间线

Use cases

  1. 01评估 AI 系统的风险等级
  2. 02持续记录 AI 决策信息
  3. 03查找尚未满足的合规要求
  4. 04为审计准备证据材料

MCP support

该 MCP 服务提供风险评估、审计记录、合规缺口检查、证据包生成和执法时间线工具，并提供时间线及活动审计记录资源。

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "mdfifty50-boop-compliance-shield": {
      "command": "npx",
      "args": [
        "-y",
        "compliance-shield-mcp"
      ]
    }
  }
}
Run commandnpx -y compliance-shield-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmcompliance-shield-mcp0.1.3

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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

ToolDescription
assess_risk_levelClassify an AI system under EU AI Act risk framework
create_audit_trailStart a compliance audit trail for an AI system
log_decisionLog an AI decision with full traceability metadata
check_compliance_gapsIdentify missing compliance requirements
generate_evidence_packageGenerate auditor-ready evidence documentation
get_enforcement_timelineShow upcoming enforcement deadlines and penalties

Resources

URIDescription
compliance://timelineEU AI Act enforcement timeline
compliance://trailsList 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

DateMilestone
Feb 2, 2025Prohibited AI practices banned
Aug 2, 2025Governance bodies operational
Aug 2, 2026High-risk AI obligations enforced
Aug 2, 2027Full 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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.