io.github.saloprj/publicaml

up checked 2026-11-11T00:37:50.183Z

Unclaimed · Unverified

Publisher-provided description

Free crypto AML/KYT screening for BTC/ETH/BSC/TRON — risk score, sanctions, source of funds.

Summary by lookupd

Screens crypto addresses and transactions for AML risk, traces fund flows and counterparties across BTC, ETH, BSC and TRON chains.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http publicaml https://mcp.publicaml.org/mcp

Codex, remote (streamable-http)

codex mcp add publicaml --url https://mcp.publicaml.org/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "publicaml": {
      "url": "https://mcp.publicaml.org/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Publisher-provided text

screen_address Screen a crypto wallet address for AML/KYT risk. Returns an AML score (0-100), risk_level (LOW/MEDIUM/HIGH/CRITICAL), what the address is (axes: business, legal
trace_funds Follow the OUTGOING funds from an address across the chain and report where the money ends up (exchanges, mixers, sanctioned wallets) and how many hops away. Re
list_counterparties List the counterparties an address has transacted with — optionally filtered by entity category (cex, mixer, gambling, bridge, ...). Set with_risk=true to attac
trace_source_of_funds Walk an address's INCOMING funds backwards to answer 'where did this wallet's money come from'. Stops at labelled entities (exchanges, mixers, services) and rep
screen_transaction Screen one transaction by hash: what moved, who took part, a label and AML risk for every participant, and an overall verdict. Pass focus_address (e.g. your own
follow_swap For one transaction that went through a DEX or aggregator, show the net balance change per address and asset and flag who the swap was actually for. Use it to c
list_transactions A wallet's recent transfers, newest first, with direction and counterparty for each, plus what we know about each counterparty. Optionally only transfers with o
explain_risk_path Explain WHERE an address's AML risk comes from: for each risk source (sanctioned entity, hack, mixer, scam, frozen funds) the chain of wallets the money took fr

Shows this live status and links here; updates hourly.

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