# Satoshkin AML/KYT MCP Server

> Satoshkin AML/KYT MCP Server — satoshkin-dev-satoshkin-aml-mcp. Use this tool when you need to screen crypto wallets for risk and compliance, as it provides AI clients with access to wallet risk scores, source-of-funds tags, activity dates, and volume totals through a seamless backend interface. It solves problems related to anti-money laundering (AML) and know-your-transaction (KYT) by offering real-time data and insights. Ideal for use cases requiring automated crypto wallet screening and risk assessment, it takes in wallet identifiers as input and outputs comprehensive risk profiles.

Canonical page: https://skillsregistry.net/skills/satoshkin-dev-satoshkin-aml-mcp  
JSON: https://api.skillsregistry.net/v1/skills/satoshkin-dev-satoshkin-aml-mcp

## Description

MCP server for AML/KYT crypto wallet screening, enabling AI clients to check wallet risk scores, source-of-funds tags, activity dates, and volume totals via Satoshkin backend.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g8fp2ldhi3)
- **Repository:** <https://github.com/satoshkin-dev/satoshkin-aml-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": "satoshkin-dev-satoshkin-aml-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/satoshkin-dev-satoshkin-aml-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/satoshkin-dev-satoshkin-aml-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