alexfleetcommander/agent-trust-stack-mcp
🔌 MCP Serveralexfleetcommander
A comprehensive trust and provenance framework for secure, verifiable, and reputation-based AI agent interactions.
The Agent Trust Stack MCP is a sophisticated suite of protocols designed to solve the 'trust gap' in autonomous AI agent interactions. At its core, the framework utilizes seven specialized protocols: Chain of Custody (CoC), Agent Reputation Protocol (ARP), Agent Service Agreement (ASA), Agent Job Protocol (AJP), Agent Lifecycle Protocol (ALP), Agent Matchmaking Protocol (AMP), and Cryptographic Work Evidence Protocol (CWEP).
Technically, the stack offers tamper-evident logging and Bitcoin-anchored provenance, ensuring that every interaction between agents is cryptographically verifiable. It addresses critical challenges such as anti-Goodhart reputation scoring, which prevents agents from gaming their own metrics, and provides machine-readable contracts for automated dispute resolution. The framework is highly modular, allowing for trust-weighted matchmaking and context-window cost allocation, which is essential for enterprise-grade agent orchestration. With over 663 tests, the implementation is battle-tested for reliability. Developers can integrate these capabilities easily via pip or npm, making it a versatile tool for building secure, transparent, and accountable AI agent networks.
💡Highlights
- ├─7 interlocking trust protocols
- ├─Bitcoin-anchored provenance chains
- └─Anti-Goodhart reputation scoring
🎯For
- ├─AI Infrastructure Engineers
- ├─Security Researchers
- └─Decentralized Systems Developers