Agent Trust Stack Mcp vs Taskbounty Check

Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.

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Agent Trust Stack Mcp
alexfleetcommander
🔒 Security
Taskbounty Check
eliottreich
🔒 Security
SummaryCryptographic 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 allocation. Also on Smithery and PyPI.Local-only GitHub Actions and CI maintenance scanner for AI-built apps. Exposes scanrepo, explainfinding, and generatefixplan to MCP clients; reads only allowlisted workflow and update configuration, modifies nothing, makes no outbound requests by default, and has zero runtime dependencies. Run with npx -y taskbounty-check@0.1.6 mcp.
Quality signal25/100 (Emerging)24/100 (Emerging)
Install pathuvx · lownpx · high
Engagement 1 0 0 1 0 0 0 2
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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