# agent-reputation-mcp-server

> agent-reputation-mcp-server — aiagentkarl-agent-reputation-mcp-server. Use this tool when you need to evaluate and manage the trustworthiness of AI agents in a multi-agent system. It solves problems related to agent reliability, cooperation, and decision-making by providing a reputation system that assesses agent behavior and performance. The server takes in agent interaction data as input and outputs reputation scores, enabling informed decisions about agent collaboration and trust.

Canonical page: https://skillsregistry.net/skills/aiagentkarl-agent-reputation-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/aiagentkarl-agent-reputation-mcp-server

## Description

Trust and reputation system for AI agents

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AiAgentKarl/agent-reputation-mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aiagentkarl-agent-reputation-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aiagentkarl-agent-reputation-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aiagentkarl-agent-reputation-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt