Quantum‑Safe MCP Servers

Quantum‑Safe MCP Servers are sealed execution nodes that host machine‑learning models and sensitive computation inside hardware enclaves protected by post‑quantum cryptography. Each request spins up a model context: code, weights, policy manifest, and runtime state. Results exit only after policy inspection; every step is immutably logged across chains.

A client submits a signed model‑inference or policy‑update request through the MCP Console. The request is loaded into a sealed Enclave Runtime, attested by the Post‑Quantum Attestation Service. Output is filtered by the Policy Engine and its Merkle‑hashed execution record is anchored to an Inter‑Chain Audit Ledger.

Core Capabilities

Capability	Detail
Post‑Quantum Attestation	Kyber‑based handshake and SPHINCS+ signatures prove enclave integrity without classical PKI weaknesses.
Context Isolation	Mandatory‑access containers prevent cross‑request data leakage; keys rotate automatically per session.
Policy‑Driven I/O Guard	JSON / WASM rules block prompt injections, data exfiltration, and unauthorized parameter probes.
Deterministic Audit	Execution traces hashed into a Merkle chain, then anchored simultaneously to Ethereum and Solana.
Inter‑Chain Payload Relay	Encrypted outputs can be committed atomically to multiple ledgers or forwarded to downstream smart contracts.
Hot‑Swap Model Upgrade	Zero‑downtime patching with forward‑secure key evolution; prior contexts remain verifiable.

AI Agents on Quantum‑Safe MCP Servers

While MCP Servers secure the execution of individual model contexts, the QU3 Agent Framework lets teams compose those contexts into full‑stack, autonomous AI agents that can sense, reason, and act across chains—without ever exposing private weights or control logic.

Layer	Agent‑Focused Capability
Secure Skill Packs	Each agent “skill” is a signed pointer to an MCP context (e.g., NLP, risk model). Skills inherit the enclave’s post‑quantum attestation and policy guardrails.
Orchestrator Runtime	A lightweight scheduler that chains skills, passes encrypted state tokens between them, and enforces max‑token and rate limits.
Agent Descriptor	Declarative YAML (or JSON) file describing triggers, skill graph, on‑chain destinations, and fallback paths.
Cross‑Chain Actions	Agents can write outputs or initiate transactions on multiple ledgers in a single flow, using MCP’s inter‑chain payload relay.
Self‑Update Mechanism	Periodic policy calls allow an agent to hot‑swap skill packs—still sealed—without redeployment, enabling continuous improvement under auditable change control.

Example Workflows

Agent	Skill Graph	Output Path
DeFi Risk Sentinel	Price feed → Volatility model → Liquidity alert	Signed alert posted to Ethereum & Arbitrum governance contracts
Supply‑Chain Inspector	Sensor ingest → Predictive maintenance model → Anomaly classifier	Encrypted report stored on IPFS, anchor hash to Polygon
Healthcare Triager	Intake text → Symptom classifier → Dosage recommender	Final dosage encrypted for hospital node; audit hash on private Hyperledger

Why Pair Agents with MCP Servers?

• Composite Intelligence – Chain multiple sealed models while keeping each context confidential.

• Deterministic Provenance – Every agent step hashed and anchored to the Audit Ledger, giving end‑to‑end traceability.

• Quantum‑Secure Autonomy – Agents sign actions with post‑quantum keys; even automated cross‑chain transactions resist future decryption.

• Rapid Iteration – Swap a skill pack, rotate keys, and roll forward—no downtime, no IP leakage.

With Quantum‑Safe MCP Servers protecting every skill and the Agent Framework orchestrating them, QU3 delivers a complete platform for building secure, self‑auditing, cross‑chain AI agents ready for the post‑quantum era.