bjoernbethge/mcp-b

MCB (Master Client Bridge) - Connects everything, brings data flow together. Agent communication protocol with AMUM-QCI-ETHIC.

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README

MCP-B - Master Client Bridge

Connects everything, brings data flow together.

A complete agent communication framework combining:

  • MCP-B Protocol: 4-layer encoding for agent-to-agent messaging
  • AMUM: Progressive 3→6→9 human-AI alignment workflow
  • QCI: Quantum coherence state tracking
  • ETHIC: AI ethics principles enforcement

Installation

# Via pip
pip install mcp-b

# Via uv
uvx mcp-b demo

# With SurrealDB support
pip install mcp-b[surrealdb]

# Full installation
pip install mcp-b[full]

CLI Usage

mcp-b demo                              # Run demo
mcp-b encode "Hello" -s 5510 -d 7C1     # Encode message
mcp-b decode "5510 7C1 ..."             # Decode message
mcp-b ethic list                        # List ethical principles
mcp-b qci status                        # QCI network status
mcp-b version                           # Show version

Quick Start

MCP-B Protocol - Agent Communication

from mcp_b import MCBAgent, MCBProtocol, encode_mcb, decode_mcb

# Create agents
claude = MCBAgent(agent_id="7C1", name="Claude")
hacka = MCBAgent(agent_id="5510", name="HACKA")

# Initialize protocol
protocol = MCBProtocol(hacka)

# Send messages (INQC commands)
init_msg = protocol.init_connection(claude)      # I = Init
node_msg = protocol.register_node(["chat"])      # N = Node
query_msg = protocol.query("7C1", {"status": 1}) # Q = Query
connect_msg = protocol.connect(claude)           # C = Connect

# Encode/Decode
encoded = encode_mcb("5510", "7C1", 0b1011101010111111, "Q", {"ping": True})
decoded = decode_mcb("5510 7C1 1011101010111111 • {\"ping\": true} • Q")

AMUM - Progressive Alignment (3→6→9)

from mcp_b import AMUM, quick_alignment

# Quick one-liner alignment
result = quick_alignment(
    intent="Create AI agent",
    divergent_3=["Minimal", "Balanced", "Full"],
    select_1=1,
    expand_6=["Text", "Image", "Voice", "Multi", "Pro", "Suite"],
    select_2=4,
    converge_9=["GPT-4", "Claude", "Gemini", "Ollama", "Hybrid",
                "Edge", "ElevenLabs", "OpenAI", "Local"],
    select_3=6
)
print(result["final_intent"])  # "ElevenLabs"

QCI - Coherence States

from mcp_b import QCI, BreathingCycle

qci = QCI()

# Register agents with coherence
state = qci.register_agent("7C1", initial_coherence=0.95)
state.calculate_rov_q(resonance=12860.65, quality=1.0)
state.calculate_signal(base=4414.94)

# Sync breathing across agents
qci.sync_breathing(["7C1", "5510"], BreathingCycle.INHALE)

# Check network coherence
print(qci.calculate_network_coherence())

ETHIC - Principles Enforcement

from mcp_b import ETHIC, check_ethical, EthicCategory

ethic = ETHIC()

# Check if action is ethical
if check_ethical("collect_data", personal_data=True, consent=False):
    print("Allowed")
else:
    print("Blocked - no consent")

# Get principles by category
for p in ethic.get_by_category(EthicCategory.SAFETY):
    print(f"[{p.priority}] {p.name}")

Architecture

┌─────────────────────────────────────────────────────────────────────────────┐
│                    MCP-B - MASTER CLIENT BRIDGE                             │
│  ═══════════════════════════════════════════════════════════════════════   │
│                                                                             │
│  ┌─────────┐    ┌─────────┐    ┌─────────┐    ┌─────────┐                  │
│  │  AMUM   │───▶│  MCP-B  │───▶│   QCI   │───▶│  ETHIC  │                  │
│  │ 3→6→9   │    │ INQC    │    │Coherence│    │Principles│                  │
│  └─────────┘    └─────────┘    └─────────┘    └─────────┘                  │
│       │              │              │              │                        │
│       ▼              ▼              ▼              ▼                        │
│  ┌─────────────────────────────────────────────────────────────────────┐   │
│  │                    DUAL DATABASE LAYER                              │   │
│  │  ┌─────────────────────┐    ┌─────────────────────┐                 │   │
│  │  │      DuckDB         │    │     SurrealDB       │                 │   │
│  │  │  (Analytics/SQL)    │    │  (Graph/Relations)  │                 │   │
│  │  └─────────────────────┘    └─────────────────────┘                 │   │
│  └─────────────────────────────────────────────────────────────────────┘   │
└─────────────────────────────────────────────────────────────────────────────┘

MCP-B Protocol Layers

LayerPurposeExample
Layer 1HEX/DECIMAL Routing7C1 5510 (source → dest)
Layer 2BINARY State Vectors1011101010111111 (16 flags)
Layer 3DOT-SEPARATED Tokens• payload • command
Layer 4INQC CommandsI/N/Q/C

INQC Commands

  • I (INIT): Initialize connection
  • N (NODE): Node registration/discovery
  • Q (QUERY): Request data/state
  • C (CONNECT): Establish persistent link

Binar

...

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