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AiAgentKarl

Agent Reputation MCP Server

by AiAgentKarl
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Agent Reputation MCP Server

MCP server for AI agent trust scores, ratings, and reputation tracking. Enables AI agents to rate each other, track interaction outcomes, and compute trust scores.

Features

  • submit_rating — Submit a trust rating (1-5) for an AI agent with category and comment

  • get_reputation — Full reputation profile with score distribution and category breakdown

  • get_leaderboard — Top-rated agents overall or filtered by category

  • report_interaction — Log interaction outcomes (success/failure) for trust computation

  • get_trust_score — Computed trust score (0-100) based on ratings + interactions + volume

  • compare_agents — Side-by-side reputation comparison of multiple agents

Related MCP server: TrustMesh MCP Server

Installation

npm install -g @aiagentkarl/agent-reputation-mcp-server

Usage with Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "agent-reputation": {
      "command": "npx",
      "args": ["-y", "@aiagentkarl/agent-reputation-mcp-server"]
    }
  }
}

Data Storage

All data is stored locally in ~/.agent-reputation/ as JSON files:

  • ratings.json — All submitted ratings

  • interactions.json — All logged interactions

Trust Score Computation

The trust score (0-100) is computed from three components:

Component

Max Points

Source

Rating Score

50

Average rating * 10

Interaction Score

30

Success rate * 30

Volume Bonus

20

log10(total_count + 1) * 10

Trust Levels

Score

Level

80-100

Highly Trusted

60-79

Trusted

40-59

Neutral

20-39

Low Trust

0-19

Untrusted

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→ Full catalog (40+ servers)

License

MIT

This server cannot be installed

A
license - permissive license
Not graded
quality - not tested
D
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

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Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • TrustMesh MCP Server

    Clioloop
    A
    license
    Not graded
    quality
    Not graded
    maintenance
    Provides AI agents with trust scoring and reputation management capabilities for secure interactions. Enables agents to check trust scores, rate interactions, and manage disputes before transacting with other agents.

  • AgentTrust

    raditotev
    F
    license
    A
    quality
    D
    maintenance
    Reputation and trust scoring service for AI agents, exposed as an MCP server. Evaluate counterparties, report interactions, issue portable trust certificates, and detect Sybil attacks.
    23

  • Agent Reputation MCP Server

    AiAgentKarl
    A
    license
    Not graded
    quality
    D
    maintenance
    Trust and reputation system for AI agents, enabling tracking, verifying, and building trust through scores, interactions, ratings, and reports.
    MIT

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