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alexfleetcommander/agent-trust-stack-mcp

by Various

MCP server for Agent Trust Stack — cryptographic provenance and reputation scoring for autonomous AI agents. Install: pip install agent-trust-stack-mcp

A

MCP

alexfleetcommander/agent-trust-stack-mcp

Added 1 June 2026

#agent-trust-stack #ai-agents #autonomous-agents #chain-of-consciousness #mcp #mcp-server #model-context-protocol #provenance

Overview

An MCP server that implements cryptographic provenance and reputation scoring for autonomous AI agents. It can be installed via pip and provides a trust layer for multi-agent interactions in development environments.

Best for

Best for
Developers building multi-agent systems that require cryptographic trust and reputation tracking

Use cases

  • Tracking cryptographic provenance of agent actions
  • Scoring agent reputation based on historical behavior
  • Enforcing trust policies in multi-agent systems

Notes

An MCP server that implements cryptographic provenance and reputation scoring for autonomous AI agents. It can be installed via pip and provides a trust layer for multi-agent interactions in development environments.

0 stars on GitHub. Last updated 2026-04-25. Licensed Apache-2.0.

Use cases

  • Tracking cryptographic provenance of agent actions
  • Scoring agent reputation based on historical behavior
  • Enforcing trust policies in multi-agent systems

Pros

  • Provides verifiable cryptographic provenance for agent actions
  • Enables reputation-based trust decisions without external authorities
  • Open-source Python implementation with pip installation

Cons

  • Repository has zero stars, indicating very early or unproven status
  • Limited documentation beyond the basic installation command
  • Dependency on Python ecosystem may restrict deployment environments

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provides verifiable cryptographic provenance for agent actions
  • Enables reputation-based trust decisions without external authorities
  • Open-source Python implementation with pip installation

Cons

  • Repository has zero stars, indicating very early or unproven status
  • Limited documentation beyond the basic installation command
  • Dependency on Python ecosystem may restrict deployment environments
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