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srotzin

hive-mcp-aml-screen

by srotzin

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Alternatives to hive-mcp-aml-screen

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    • A
      license
      A
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      Enables blockchain AML screening of addresses in plain language inside any MCP client, covering sanctions and freeze checks, risk scoring, fund tracing, and counterparty classification across bitcoin, ethereum, bsc, and tron. Works without an account, with an optional API key that lifts rate limits and unlocks outgoing tracing.
      3
      52 npm
      MIT
    • A
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      Not graded
      quality
      C
      maintenance
      Routes blockchain address screening to third-party KYC/AML providers and checks public sanctions lists, serving as a clean-money gate primitive for MCP-compatible agents.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to perform AML and compliance risk scoring for crypto addresses and transactions on Ethereum, BSC, TRON, TON, and Bitcoin, returning 0–100 risk scores, bands, flags, and detailed signals.
      2
      50 npm
      MIT
    • A
      license
      Not graded
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      B
      maintenance
      Enables screening names and batches against global sanctions, PEP, and watchlists for AML compliance, returning scored matches.
      57 npm
      MIT
    • A
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      Not graded
      quality
      C
      maintenance
      Enables MCP clients to screen blockchain addresses and evaluate payment counterparties before funds move, returning clear/caution/risky verdicts, risk scores, and clickable evidence across EVM chains, Tron, and Solana. It also supports anti-blind-signing checks, x402 payment-requirement verification, identity/control baselines, and signed evidence bundles, with free tools and optional paid compliance tools.
      308 npm
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Provides blockchain address risk scoring and asset information through the BICScan API, allowing users to assess risks for crypto addresses, domains, and dApps on a scale of 0-100.
      2
      16
      MIT