TrustAgentAI | Agent-to-Agent Trust Layer for MCP
Agent-to-Agent Trust Layer for MCP

Trust for AI Agents

TrustAgentAI proves Agent-to-Agent commitments and results. We create cryptographic infrastructure for verifiable delegation in the MCP ecosystem.

LinkedIn Company Page
Live Simulator

Try the Interactive Testbed

Experience how our Trust Proxy intercepts and secures AI financial transactions in real-time.

Launch Simulator

Beyond Simple Gateways

Unlike standard gateways and cybersecurity tools, TrustAgentAI ensures legal non-repudiation and provides a robust evidence base for dispute resolution.

Agent-to-Agent Non-repudiation (D1)

Bilateral receipts ("accepted/executed") between agents eliminate the possibility of denying obligations in supply chains or financial transactions.

Risk Budgeting (D4)

Limits and authority budgets against "agent drift" are baked directly into the protocol, blocking dangerous actions at the execution level.

Differentiation: Trust Layer vs MCP Gateway

Product Lineup

The infrastructure of responsibility for the AI Agent economy

Agent-to-Agent Protocol

Core standard for cryptographic receipts (Intent, Acceptance, Execution) to record binding commitments.

Agent-to-Agent Proxy

Sidecar component on the MCP traffic path, verifying authority and applying budgets in real-time.

Time-stamp Registry

Immutable storage for receipts with cryptographic time-stamping to ensure 100% historical integrity.

Dispute Console

Interface for compliance: verify signatures and export "Dispute Packs" for legal and insurance use.

Standard V1.0 • January 2026

TrustAgentAI: The Liability Layer for Agent-to-Agent in MCP

Table of Contents

1. The Problem: Liability Crisis 2. Threat Model: Beyond Gateways 3. Three Agent-to-Agent Trust Artifacts 4. Hard Differentiators (D1-D5) 5. Architecture and MCP Integration

1. The Problem: Liability Crisis

MCP solves the connectivity problem but ignores the liability problem. Without cryptographic non-repudiation, the corporate sector will not allow AI agents to manage real budgets or high-stakes API calls.

2. Threat Model: Beyond Gateways

Unlike MCP gateways that simply route traffic, we neutralize specific Agent-to-Agent risks:

  • Repudiation: "He-said-she-said" deadlock between agents from different companies.
  • Agent Drift: Prevent agents from exceeding business roles due to hallucinations.
  • Log Tampering: Prevent administrative manipulation of transaction history.

3. Three Agent-to-Agent Trust Artifacts

Our protocol records obligations through three types of receipts:

  • Intent Envelope: Agent A signs the intent metadata (nonce, trusted timestamp, TTL).
  • Acceptance Receipt: Agent B signs the acceptance of terms (validity window).
  • Execution Receipt: Agent B signs the outcome and precise execution timestamp.

4. Hard Differentiators (D1-D5)

  • D1 Non-repudiation Agent-to-Agent: Bilateral signing ensures absolute accountability.
  • D2 Dispute-grade proof: Evidence designed for courts and insurance auditors.
  • D3 Authority per action: Permissions re-validated for every single delegation.
  • D4 Risk budgeting: Real-time budget enforcement integrated into the protocol.
  • D5 Tamper-evident history: Merkle batching with external anchors for immutable time and data.

5. Architecture and MCP Integration

TrustAgentAI acts as an MCP Middleware Server. Our proxy intercepts JSON-RPC tool calls and returns an MCP-format block error if the action is unauthorized or exceeds the risk budget.