# ai.agentxray/mcp

> ai.agentxray/mcp — ai-agentxray-mcp. Use this tool when you need to calculate accurate per-unit profits for your Amazon sales, as it analyzes your settlement data to provide real profit insights and allows you to approve drafts for enhanced accuracy. It solves the problem of uncertain profit margins by providing a clear picture of your earnings, helping you make informed business decisions. Ideal for Amazon sellers seeking to optimize their pricing and inventory management strategies.

Canonical page: https://skillsregistry.net/skills/ai-agentxray-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-agentxray-mcp

## Description

Amazon sellers: real per-unit profit from your own settlement data, plus drafts you approve.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.agentxray%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://agentxray.ai/api/mcp`

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": "ai-agentxray-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-agentxray-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-agentxray-mcp/pull`

---
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