# agent-reputation-mcp-server-js

> agent-reputation-mcp-server-js — aiagentkarl-agent-reputation-mcp-server-js. Use this tool when you need to establish trust scores and reputation systems for AI agents, solving problems of agent reliability and cooperation in multi-agent environments. It provides a JavaScript MCP Server that calculates and manages reputation, accepting agent interactions as input and outputting trust scores. Ideal for use cases requiring agent evaluation and ranking, such as decentralized systems and autonomous networks.

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

## Description

JavaScript MCP Server — trust scores and reputation for AI agents

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

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

## 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-js"
    }
  }
}
```

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