Mempool MCP
Bitcoin network status: recommended fees, mempool backlog, blocks, addresses, difficulty retargets.
Description from the maker (original English)
AML/KYT crypto wallet risk screening (BitOK data) for Claude, ChatGPT and any MCP client.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
SATOSHKIN_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"satoshkin-aml": {
"command": "npx",
"args": [
"-y",
"satoshkin-aml-mcp"
],
"env": {
"SATOSHKIN_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add satoshkin-aml --env SATOSHKIN_API_KEY=your-value -- npx -y satoshkin-aml-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"satoshkin-aml": {
"command": "npx",
"args": [
"-y",
"satoshkin-aml-mcp"
],
"env": {
"SATOSHKIN_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"satoshkin-aml": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"satoshkin-aml-mcp"
],
"env": {
"SATOSHKIN_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account satoshkin-dev, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: SATOSHKIN_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Mempool MCP, SA Crypto Tax Rules, VolatiAI MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Bitcoin network status: recommended fees, mempool backlog, blocks, addresses, difficulty retargets.
SA crypto tax: FIFO capital gains, tax estimates, CGT exclusion, capital vs revenue, CARF
Ranked active signals across security, crypto, environment, tech, and more.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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:
{
"address": "1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa", "chain": "BTC" }
Supported chain values:
BTCETHTRONUSDT-ERC20USDT-TRC20Real output (with SATOSHKIN_API_KEY):
{
"address": "1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa", "chain": "BTC", "checked_at": "2026-06-10T12:00:00.000Z", "risk_score": 17, "risk_level": "low", "tags": ["exchange"], "first_activity": "2021-01-01", "last_activity": "2026-06-01", "total_volume_in_usd": "1000.00", "total_volume_out_usd": "900.00", "source": "bitok", "cache_hit": false, "rate_limit": { "remaining": 999, "resets_at": "2026-06-10T13:00:00.000Z" }, "balance": { "charged_usd": "0.55", "after_usd": "9.45" } }
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_ (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:
{
"mcpServers": { "satoshkin-aml": { "command": "npx", "args": ["-y", "github:satoshkin-dev/satoshkin-aml-mcp"], "env": { "SATOSHKIN_API_KEY": "sk_live_your_key_here" } } } }
Omit the env block to run in mock mode.
For local development, use the built entrypoint:
{
"mcpServers": { "satoshkin-aml": { "command": "node", "args": ["/absolute/path/to/satoshkin-aml-mcp/dist/index.js"] } } }
git clone https://github.com/satoshkin-dev/satoshkin-aml-mcp.git
cd satoshkin-aml-mcp npm install npm run build npm test
Run the server locally:
npm run dev
Run the built server:
npm run build
node dist/index.js
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