<!-- mcp-name: io.github.CSOAI-ORG/care-membrane-mcp -->

Care Membrane MCP

AI Safety evaluation toolkit: care scoring, threat detection, burnout analysis, relationship pred...

AI Safety evaluation toolkit: care scoring, threat detection, burnout analysis, relationship prediction, and care membrane probe framework.

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🚀 Quick Start

# Install via pip
pip install care_membrane_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install care-membrane-mcp --client claude

✨ Features

• MCP protocol compliant
• Easy installation
• Well-documented API
• Production-ready
• Active maintenance

📖 Documentation

• Full Documentation
• API Reference
• EU AI Act Compliance Guide

🛡️ Compliance

This MCP server is built with EU AI Act compliance built-in:

• ✅ Article 9 — Risk Management System
• ✅ Article 13 — Transparency & Instructions for Use
• ✅ Article 15 — Bias Detection & Testing
• ✅ Article 26 — FRIA Support (where applicable)
• ✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic →

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

• Pro: $99/mo — Full MCP suite + EU AI Act tracking
• Enterprise: $499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.

Domain	Purpose
councilof.ai	EU AI Act compliance marketplace
safetyof.ai	AI safety & monitoring
meok.ai	Sovereign AI platform
cobolbridge.ai	Legacy modernization

📜 License

MIT © CSOAI-ORG

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<p align="center"> _{Built with 💜 by <a href="https://meok.ai">MEOK AI Labs</a> · UK Companies House 16939677} </p> # Care Membrane Safety MCP Server [](https://github.com/CSOAI-ORG/care-membrane-mcp/stargazers)

By MEOK AI Labs — Sovereign AI tools for everyone.

AI safety evaluation toolkit for LLM applications. Score text for care-centered alignment, detect threats and jailbreak attempts, analyze relationship health, predict burnout risk, and certify AI responses against the 16-probe Care Membrane framework.

Tools

Tool	Description
validate_care	Score text against care-centered alignment principles (0-100)
detect_threats	Detect jailbreak attempts, prompt injection, and PII extraction
analyze_care_patterns	Detect burnout risk and relationship health imbalances
predict_relationship_evolution	Predict relationship evolution over the next 30 days
evaluate_care_membrane	Evaluate responses against the 16-probe Care Membrane framework
`get_care