Agent Trust Stack MCP Server
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- AlicenseNot gradedqualityCmaintenanceProvides an immutable, tamper-evident audit trail for AI agents, enabling event logging with cryptographic chaining, search, verification, and statistics.2MIT
- AlicenseNot gradedqualityNot gradedmaintenanceProvides AI agents with trust scoring and reputation management capabilities for secure interactions. Enables agents to check trust scores, rate interactions, and manage disputes before transacting with other agents.-
- AlicenseAqualityCmaintenanceEnables AI agents to sign decisions with post-quantum cryptographic proofs and maintain secure audit trails for compliance. It provides tools for stamping events, verifying chain integrity, and exporting audit data across industries like finance and healthcare.430 npmMIT
- AlicenseNot gradedqualityFmaintenanceProvides tamper-proof audit logging for AI agents using SHA-256 hash chains, integrity verification, and compliance reporting for the EU AI Act.1MIT
- AlicenseNot gradedqualityDmaintenanceEnables agents to carry portable reputation across platforms, with tools for registering agent identities, vouching, verifying trust, and managing memory.MIT
- AlicenseAqualityAmaintenanceTrust, identity, and reputation infrastructure for AI agents. Register agents with W3C DID (Ed25519), check EigenTrust reputation scores, submit peer attestations, search agents by capability, and verify IPFS-anchored audit trails. 11 tools.2015MIT
TDQS
Scored across 11 tools
Most tools have clearly distinct purposes, especially the coc_* lifecycle actions (init, add, status, tail, verify, anchor) and arp_rate/arp_check. Minor overlap exists between get_trust_evidence and coc_status/coc_verify since both surface chain and verification data, but the intended use cases differ enough to avoid real confusion.
The coc_* and arp_* prefixes create useful grouping agenda, but naming style is mixed: some tools are prefix+verb (coc_add, arp_rate), some are prefix+noun (coc_status, coc_tail), and others use generic verb/noun patterns (get_trust_evidence, verify_agent_identity, trust_stack_info). The conventions are readable but not fully consistent.
Eleven tools is an appropriate size for a trust-stack server covering chain-of-consciousness, reputation, and identity verification. Each tool provides a distinct operation, and the count feels neither bloated nor overly minimal.
The core workflows are well covered: chain initialization, appending, tail inspection, verification, anchoring, reputation rating/checking, identity validation, and local trust evidence retrieval. Minor gaps exist, such as no per-entry chain lookup or richer reputation aggregation, but these are workable for the domain.