AML/KYT crypto wallet risk screening (BitOK data) for Claude, ChatGPT and any MCP client.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
MCP server for AML/KYT crypto wallet screening. It is designed to connect AI clients such as Claude Desktop, Claude Code, ChatGPT MCP clients, and internal agent tools to Satoshkin wallet risk checks.
This MCP server provides AI assistants with crypto compliance tools for AML (Anti-Money Laundering) and KYT (Know Your Transaction) screening. Compatible with Claude Desktop, Claude Code, and any MCP-compatible client.
With an API key configured, checks return real BitOK-backed data: risk score 0-100, risk level, source-of-funds tags, activity dates, and volume totals. Without a key the server runs in clearly-labeled mock mode.
v0.2.0 performs real AML/KYT screening through the Satoshkin backend
(POST /api-accounts/aml-check, BitOK data) when SATOSHKIN_API_KEY is set.
Without an API key the server runs in mock mode: deterministic, clearly-labeled placeholder responses that can never be mistaken for a real verdict.
This repository does not contain BitOK credentials, production AML/KYT business logic, user data, or paid-tier enforcement. Those belong in the private backend service.
check_wallet_amlChecks a crypto wallet address for AML/KYT risk. Addresses are validated against per-chain formats client-side before any quota is spent.
Input:
Supported chain values:
BTCETHTRONUSDT-ERC20USDT-TRC20Real output (with SATOSHKIN_API_KEY):
Errors come back as structured isError payloads with machine-readable codes:
unauthorized, insufficient_balance, rate_limited, validation_error,
bitok_upstream_error, bitok_timeout, upstream_unreachable,
invalid_response, internal_error, and http_<status> (fallback when a
backend error body has no error field). Every error payload also carries
an http_status field.
Results are informational risk indicators, not legal or compliance advice.
| Env var | Default | Purpose |
|---|---|---|
SATOSHKIN_API_KEY | (unset = mock mode) | API key sk_live_* / sk_test_* issued by Satoshkin |
SATOSHKIN_API_BASE_URL | https://satoshkin.com | Backend base URL (staging override) |
SATOSHKIN_TIMEOUT_MS | 30000 | Request timeout; first-time checks may take several seconds |
This package is not published to npm yet. Use the public GitHub repository through npx.
Add this to your MCP settings:
Omit the env block to run in mock mode.
For local development, use the built entrypoint:
Run the server locally:
Run the built server:
Shipped in v0.2:
0-100 + risk level (low / medium / high)Planned next: counterparty and cluster analysis, allow/review/block decisions.
The MCP server is a free open-source connector.
Real checks require a Satoshkin API key. Billing is per successful check ($0.55, debited from a prepaid key balance), the first real check per key is free, and cached repeat checks within 60 seconds are not charged. Keys are currently issued by Satoshkin support; a self-service dashboard is in development. Mock mode is free and unlimited.
Traditional AML APIs (Chainalysis, Elliptic, TRM Labs) require:
This MCP server lets any AI assistant call AML checks natively, with structured input/output that the LLM understands. Install once, use across all your AI tools.
MIT
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