AI Infrastructure · PyPI

agent-trust-stack-mcp

MCP server for autonomous AI agent trust — cryptographic provenance (Chain of Consciousness with Bitcoin OpenTimestamps), decentralized reputation (Agent Rating Protocol with bilateral blind evaluation). Part of the 7-protocol Agent Trust Stack.

Details

Author
AB Support Research Team
GitHub profile
@alexfleetcommander
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/alexfleetcommander/agent-trust-stack-mcp
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
Directory sync
2026-05-15

Overview

MCP server for autonomous AI agent trust — cryptographic provenance (Chain of Consciousness with Bitcoin OpenTimestamps), decentralized reputation (Agent Rating Protocol with bilateral blind evaluation). Part of the 7-protocol Agent Trust Stack.

Quick start

pip

pip install agent-trust-stack-mcp

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What agent-trust-stack-mcp can do

  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Autonomous — autonomous task automation.
  • Ai — ai task automation.
  • Autonomous Agents — autonomous-agents task automation.
  • Chain Of Consciousness — chain-of-consciousness task automation.

Frequently asked questions

What is agent-trust-stack-mcp?
MCP server for autonomous AI agent trust — cryptographic provenance (Chain of Consciousness with Bitcoin OpenTimestamps), decentralized reputation (Agent Rating Protocol with bilateral blind evaluation). Part of the 7-protocol Agent Trust Stack.
How do I install agent-trust-stack-mcp?
Use pip: `pip install agent-trust-stack-mcp`. Full setup details on the source page linked above.
Is agent-trust-stack-mcp open source?
agent-trust-stack-mcp is published on PyPI.
What are alternatives to agent-trust-stack-mcp?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for agent-trust-stack-mcp is sourced from PyPI, published by AB Support Research Team.

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