How do I use Agent Reputation MCP Server?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Agent Reputation MCP Server check trust score for agent alice-42" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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.

Related MCP server: TrustMesh MCP Server

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

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License

MIT

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive

ResponsivenessNo issues

Resources

Need Help?

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