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M MCP Servers Developer low

buildsyncinc/gibs-mcp

by Various

Gibs MCP Server — EU regulatory compliance for AI agents (AI Act, GDPR, DORA)

B

MCP

buildsyncinc/gibs-mcp

Added 1 June 2026

Overview

A server that provides EU regulatory compliance checks for AI agents, covering the AI Act, GDPR, and DORA. It integrates with the Model Context Protocol (MCP) to offer compliance validation during agent development.

Best for

Best for
Developers building AI agents for the European market

Use cases

  • Validate AI agent behavior against EU AI Act requirements
  • Check data handling practices for GDPR compliance
  • Ensure operational resilience per DORA framework

How to use

Tools exposed

  • classify_ai_system
  • check_compliance
  • health_check

Tested with

Claude Desktop, Claude Code, Cursor

Example client config

{\n  "mcpServers": {\n    "gibs": {\n      "url": "https://mcp.gibs.dev/sse"\n    }\n  }\n}

Notes

A server that provides EU regulatory compliance checks for AI agents, covering the AI Act, GDPR, and DORA. It integrates with the Model Context Protocol (MCP) to offer compliance validation during agent development.

6 stars on GitHub. Last updated 2026-02-15.

Use cases

  • Validate AI agent behavior against EU AI Act requirements
  • Check data handling practices for GDPR compliance
  • Ensure operational resilience per DORA framework

Pros

  • Provides targeted compliance checks for major EU regulations
  • Integrates directly into AI agent workflows via MCP
  • Helps developers avoid regulatory pitfalls early

Cons

  • Small community and limited adoption (6 stars)
  • May not cover all edge cases in evolving regulations
  • Depends on the MCP ecosystem for full usefulness

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provides targeted compliance checks for major EU regulations
  • Integrates directly into AI agent workflows via MCP
  • Helps developers avoid regulatory pitfalls early

Cons

  • Small community and limited adoption (6 stars)
  • May not cover all edge cases in evolving regulations
  • Depends on the MCP ecosystem for full usefulness
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