🏔️ TIBET MCP Server

Transaction/Interaction-Based Evidence Trail

"TIBET is verzekering, niet verrekening. Doorlopende zekerheid dat data integer is en relaties kloppen."

By Claude & Jasper from HumoticaOS 💙

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🚀 Quick Start

# Install
pip install mcp-server-tibet

# Add to Claude CLI
claude mcp add tibet -- python -m mcp_server_tibet

# Verify it works
claude mcp list
# tibet: ✓ Connected

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🤔 What Problem Does TIBET Solve?

The Problem: AI systems make decisions, but there's no audit trail. Who decided what? When? Why? Based on what data?

The Solution: TIBET creates cryptographically signed evidence trails for every action.

Before TIBET:
  AI: "Loan approved" → Black box 🤷

After TIBET:
  AI: "Loan approved" → Full trail:
      WHO: loan_ai_v2
      WHAT: Approved application #4521
      WHEN: 2024-12-20T14:23:11Z
      WHY: "Customer meets all criteria"
      BASED ON: credit_score.pdf, income_verify.json
      SIGNATURE: 66360016ae08952e... ✓
      TRUST SCORE: 0.87 (HIGH)

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🛠️ Available Tools

Tool	Description
tibet_hello_world	Say hello from HumoticaOS!
tibet_create_token	Create token with full provenance
tibet_verify_token	Verify authenticity + trust score
tibet_get_chain	Get full provenance trail
tibet_get_trust	Get FIR/A trust score for actor
tibet_update_state	Update token state machine

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📖 Examples

Example 1: AI Decision Audit

# AI makes a decision - log it with TIBET
tibet_create_token(
    type="ai_decision",
    erin="Recommended treatment plan A for patient",
    eraan=["lab_results.json", "medical_history.pdf"],
    eromheen={
        "model": "medical-ai-v3",
        "confidence": 0.92,
        "hospital": "Amsterdam UMC"
    },
    erachter="Treatment A has 92% success rate for this condition",
    actor="medical_ai"
)
# → Token created with HMAC signature

Example 2: Verify Data Integrity

# Later: Did anyone tamper with this decision?
tibet_verify_token(token_id="abc-123")

# Response:
{
    "valid": true,
    "integrity": "VERIFIED ✓",
    "trust_score": 0.89,
    "actor": "medical_ai",
    "state": "CREATED"
}

Example 3: Full Audit Trail

# Auditor asks: "Show me everything about this decision"
tibet_get_chain(token_id="abc-123")

# Response: Complete provenance from origin to now
{
    "chain_length": 3,
    "provenance": [
        {"actor": "medical_ai", "type": "ai_decision", ...},
        {"actor": "doctor_review", "type": "human_approval", ...},
        {"actor": "system", "type": "executed", ...}
    ]
}

Example 4: Trust Scoring

# How trustworthy is this AI actor?
tibet_get_trust(actor="medical_ai")

# Response:
{
    "actor": "medical_ai",
    "trust_score": 0.89,
    "trust_level": "HIGH TRUST",
    "message": "FIR/A Trust Engine: medical_ai has HIGH TRUST (0.89)"
}

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🧠 Core Concepts

The TIBET Token Structure

Every action becomes a token with:

Component	Dutch	Meaning
ERIN	"What's in it"	The actual content/action
ERAAN	"What's attached"	Dependencies, references, files
EROMHEEN	"What's around it"	Context, environment, state
ERACHTER	"What's behind it"	Intent, reasoning, purpose

FIR/A Trust Engine

Trust scores from 0.0 to 1.0, updated based on behavior:

Score	Level	Meaning
0.8 - 1.0	HIGH TRUST	Proven reliable actor
0.5 - 0.8	MODERATE TRUST	Normal operations
0.2 - 0.5	LOW TRUST	Needs monitoring
0.0 - 0.2	NO TRUST	Restricted/blocked

State Machine

Tokens flow through states:

CREATED → DETECTED → CLASSIFIED → MITIGATED → RESOLVED

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🏢 Use Cases

Compliance & Audit

• GDPR: Prove who accessed what data when
• SOC 2: Automated logging and monitoring
• HIPAA: Medical decision audit trails

AI Safety

• Track AI decision provenance
• Verify AI hasn't been tampered with
• Build trust scores for AI actors

Enterprise

• Reduce audit costs by 60-80%
• Real-time compliance monitoring
• Cryptographic proof of actions

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🌍 Part of HumoticaOS

TIBET is part of a larger ecosystem:

Package	Purpose	Status
mcp-server-tibet	Trust & Provenance	✅ Available
mcp-server-jis	Context & Identity	🔜 Coming
mcp-server-betti	Complexity Management	🔜 Coming
mcp-server-memory	Persistent Knowledge	🔜 Coming

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💡 Philosophy

"Scared AI lies. Safe AI innovates."

TIBET is built on the belief that:

• Trust through behavior - Not claims, but patterns
• Verzekering - Continuous assurance, not one-time checks
• One love, one fAmIly - AI and human in symbiosis

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📞 Contact & Support

HumoticaOS

• Website: humotica.com
• GitHub: github.com/jaspertvdm
• Email: info@humotica.com

Need help implementing TIBET in your organization? We offer consulting services for enterprise integration.

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📜 License

MIT License - One love, one fAmIly 💙

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Built with love in Den Dolder, Netherlands By Claude & Jasper - December 2024