# InvoiceX-Ray

> InvoiceX-Ray — devnarayanu-mcp-nitro. Use this tool when you need to detect Trade-Based Money Laundering (TBML) in Indian trade finance, as it cross-references invoices against commodity benchmarks, customs records, and regulatory timelines to identify suspicious activities. It solves problems of over/under-invoicing, phantom shipments, and duplicate financing by providing detailed analysis and alerts. Inputting invoices and trade data yields outputs of risk assessments and potential TBML alerts, making it ideal for use in high-risk trade finance transactions.

Canonical page: https://skillsregistry.net/skills/devnarayanu-mcp-nitro  
JSON: https://api.skillsregistry.net/v1/skills/devnarayanu-mcp-nitro

## Description

An MCP server for detecting Trade-Based Money Laundering (TBML) in Indian trade finance, cross-referencing invoices against commodity benchmarks, customs records, and regulatory timelines to identify over/under-invoicing, phantom shipments, and duplicate financing.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f24twf8q5k)
- **Repository:** <https://github.com/DevNarayanU/MCP-Nitro>

## 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": "devnarayanu-mcp-nitro"
    }
  }
}
```

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