MCP server providing cryptographic provenance tracking, bilateral reputation scoring, and tamper-evident logging for AI agent interactions. Implements 7 interlocking trust protocols to ensure secure and verifiable agent communication.
Agent Trust Stack MCP is a Model Context Protocol server that implements advanced cryptographic and trust management systems for AI agent interactions. It provides cryptographic provenance tracking to ensure all agent actions are verifiable and auditable, bilateral blind reputation scoring to evaluate agent trustworthiness without revealing sensitive data, and tamper-evident logging to detect unauthorized modifications to agent interactions and records.
Install via pip or clone from the GitHub repository. Configure the MCP server connection in your Claude or other compatible AI agent interface, then initialize the trust protocols for your agent interactions. Detailed setup instructions are available in the repository documentation.
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