# trade-based-money-laundering-mcp

> trade-based-money-laundering-mcp — apifyforge-trade-based-money-laundering-mcp. Use this tool when you need to detect trade-based money laundering activities, such as fraudulent transactions and illegal fund transfers, to enhance compliance and anti-money laundering efforts. It solves problems related to financial crime and regulatory risk by analyzing trade data and identifying suspicious patterns. The tool takes in trade data as input and outputs alerts and insights for compliance teams, AML investigators, and financial intelligence units.

Canonical page: https://skillsregistry.net/skills/apifyforge-trade-based-money-laundering-mcp  
JSON: https://api.skillsregistry.net/v1/skills/apifyforge-trade-based-money-laundering-mcp

## Description

Trade-based money laundering (TBML) detection for compliance teams, AML investigators, and financial intelligence units — delivered as an MCP server that plugs directly into Claude, Cursor, or any MCP-compatible AI agent.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/apifyforge/trade-based-money-laundering-mcp)

## 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": "apifyforge-trade-based-money-laundering-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apifyforge-trade-based-money-laundering-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apifyforge-trade-based-money-laundering-mcp/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
