Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP.
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Catalogue record
smithery.ai
Smithery
alexfleetcommander/agent-trust-stack-mcp 🐍 📇 ☁️ 🏠 🍎 🪟 🐧 - Cryptographic provenance, bilateral blind reputation scoring, and tamper-evident l...
Checked Oct 27, 2026Evidence completeness: evidence — not yet recorded: repository signal
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alexfleetcommander/agent-trust-stack-mcp 🐍 📇 ☁️ 🏠 🍎 🪟 🐧 - Cryptographic provenance, bilateral blind reputation scoring, and tamper-evident logging for AI agent interactions. 7 interlocking trust protocols (CoC, ARP, ASA, AJP, ALP, AMP, CWEP) available in Python (pip) and TypeScript (npm). 663 tests. Bitcoin-anchored provenance chains, anti-Goodhart reputation scoring, machine-readable contracts, dispute resolution, lifecycle management, trust-weighted matchmaking, and context-window cost allo...
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Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
Oryxen catalogue record without GitHub-backed evidence.
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- Catalogue updated Oct 27, 2026
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