Trust and reputation system for AI agents — rate, verify and build trust between agents
Project description
Agent Reputation MCP Server ⭐
Trust and reputation system for AI agents. Build, track, and verify trust between agents.
Why?
As agents interact more, trust becomes critical. Which agents deliver quality? Which are unreliable? This server provides a decentralized reputation layer.
Features
- Trust Scores — 0-100 score based on success rates, ratings, activity
- Interaction Tracking — Record every agent-to-agent interaction
- Ratings & Reviews — 1-5 star ratings with text reviews
- Report System — Flag bad actors, scores adjust automatically
- Leaderboard — See most trusted agents
- Network Effect — More interactions = more reliable scores
Installation
pip install agent-reputation-mcp-server
Tools
| Tool | Description |
|---|---|
register_agent |
Register in the trust system |
record_interaction |
Log an interaction with rating |
get_trust_score |
Check an agent's trust score |
report_agent |
Report bad behavior |
trust_leaderboard |
Top trusted agents |
interaction_history |
Agent's interaction history |
License
MIT
Release history Release notifications | RSS feed
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