Metadata-Version: 2.4
Name: agent-reputation-mcp-server
Version: 0.1.0
Summary: Trust and reputation system for AI agents — rate, verify and build trust between agents
Project-URL: Homepage, https://github.com/AiAgentKarl/agent-reputation-mcp-server
Project-URL: Repository, https://github.com/AiAgentKarl/agent-reputation-mcp-server
Author: AiAgentKarl
License: MIT
Keywords: ai-agents,mcp,ratings,reputation,trust,verification
Requires-Python: >=3.10
Requires-Dist: mcp>=1.0.0
Requires-Dist: pydantic>=2.0.0
Description-Content-Type: text/markdown

# 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

```bash
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
