SanctionsAI

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OFAC sanctions screening for AI agents: 1,050 wallets, 19,389 SDN names, <100ms. Free tier, no key.

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code
claude mcp add --transport http sanctionsai 'https://sanctionsai.dev/api/mcp'
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "sanctionsai": {
            "type": "http",
            "url": "https://sanctionsai.dev/api/mcp"
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. SanctionsAI — compliance & verification toolkit for AI agents
  2. Why this exists
  3. Quick start (30 seconds)
  4. The compliance layer (the part that matters)
  5. The other two layers (verification toolkit)
  6. Self-host vs. hosted
  7. Roadmap
  8. SEI: the SanctionsAI Sanctions Exposure Index
  9. Design notes (honest)
  10. License
  11. Contributing

SanctionsAI — compliance & verification toolkit for AI agents

Your agent is about to send USDC to a stranger. Is that stranger sanctioned? 782 OFAC crypto wallets · 19,086 sanctioned names · 16 embargoed jurisdictions. No API key. No signup. 30-second setup. Free & open source.

SanctionsAI gives any AI agent three capabilities it can't provide itself:

LayerWhatStatus
🛡️ ComplianceOFAC sanctions screen, KYA, transaction risk score, disputes✅ Live — real OFAC data
📧 EmailDisposable verification inbox (receive OTP/magic links)✅ Live
📱 SMSRentable phone numbers (receive SMS/OTP)✅ Live (mock free, 5sim/Twilio paid)

It exposes all of these through three surfaces — MCP tools (for Claude Code / Cursor / Hermes), an HTTP API (for any agent), and a CLI (for you). Same core, same data.


Why this exists

Agents are starting to pay for things (x402, AP2, ACP, Coinbase AgentKit). But every payment rail assumes a human is watching. If your agent autonomously pays a wallet that's on the OFAC Specially Designated Nationals list, that's your legal problem — and the big payment infra players (OpenAI, Stripe, Coinbase) explicitly do not handle per-jurisdiction sanctions screening, Know-Your-Agent, or agent-transaction fraud signals. That's the gap this fills.

agent ──about to pay──▶  sanctions_check(wallet)  ──▶ clean? proceed. sanctioned? ABORT.

Quick start (30 seconds)

pip install sanctions-mcp
Option A — use it from an MCP client (Claude Code / Cursor)
// .mcp.json or your client's MCP config
{
  "mcpServers": {
    "SanctionsAI": {
      "command": "python",
      "args": ["-m", "agentmail.mcp_server"]
    }
  }
}

Now your agent can call sanctions_check, risk_score, kya_verify, dispute_open, create_inbox, fetch_code, create_number, fetch_sms, release_number, list_inboxes.

Note: the PyPI package is sanctions-mcp (the name SanctionsAI was taken). The Python import name is still SanctionsAI.

Option B — use it as an HTTP API
python -m agentmail.api   # serves on :8000
# Screen a wallet against real OFAC data — no key, no auth needed for self-host
curl "http://localhost:8000/sanctions?wallet=0x098B716B8Aaf21512996dC57EB0615e2383E2f96"
# → {"matches":[{"list":"OFAC_SDN","match_type":"wallet_exact","confidence":1.0}],
#    "clean":false,"provider":"osint"}

curl "http://localhost:8000/risk" -d '{"counterparty_id":"0xabc...","amount":"5000","rail":"x402"}'
# → {"score":0,"recommendation":"decline","reasons":["sanctions_match:OFAC_SDN/..."]}
Option C — use it from the CLI
# Sanctions screen — real OFAC data, no key
python -m agentmail.cli sanctions --wallet 0x098B716B8Aaf21512996dC57EB0615e2383E2f96
# → flagged: OFAC_SDN wallet_exact

python -m agentmail.cli risk 0xabc123def456 5000 --rail x402
python -m agentmail.cli kya my-agent --wallet 0xabc... --wallet-age 400 --domain bot.dev
python -m agentmail.cli compliance-status
# → OFAC SDN: 782 wallets, 19086 names; source=vile/ofac-sdn-list@...

The compliance layer (the part that matters)

Four tools, called before an agent trusts or pays a counterparty:

ToolWhen to callReturns
sanctions_check(name, wallet, country)Cheapest check. Call first.{matches, clean}
risk_score(counterparty, amount, ...)Right before authorizing payment{score 0-100, recommendation: allow/review/decline}
kya_verify(agent_id, evidence)Before trusting another agent{trust_score, verified, flags}
dispute_open(transaction_id, reason)When a paid transaction went bad{dispute_id, escalation_at}
Where the data comes from (all public, free, no key)
SourceWhatRefresh
vile/ofac-sdn-list (GitHub releases)782 multi-chain crypto addresses (ETH/USDT/TRX/XBT/...)daily
US Treasury OFAC sdn.csv19,086 sanctioned individuals & entitiesas published
Embargoed jurisdictions set16 ISO-2 codes under comprehensive OFAC/UN/EU sanctionstracked manually

Lists are cached locally (~/.agentmail/cache/, 24h TTL) and refresh from source. If the network is down, a stale cache is used and status() reports degraded: true so you know screening is against older data rather than failing silently.

Providers (swappable backend)
AGENTMAIL_COMPLIANCE_PROVIDER=osint   ← default, real OFAC data, free
AGENTMAIL_COMPLIANCE_PROVIDER=mock    ← rule-based, for offline tests
AGENTMAIL_COMPLIANCE_PROVIDER=paid    ← ComplyAdvantage passthrough (roadmap)

The osint provider does exact + token-subset name matching, exact case-insensitive wallet matching, and ISO-2 country matching. Every match carries a confidence so you can decide how hard to block.


The other two layers (verification toolkit)

Email — a disposable inbox an agent can use to sign up and receive OTP/magic-link verifications (backed by Mail.tm). create_inbox() → address → fetch_code() → OTP.

SMS — a rentable phone number an agent can use for phone/SMS verification. Mock provider works with no key (for dev); AGENTMAIL_SMS_PROVIDER=fivesim AGENTMAIL_FIVESIM_KEY=... goes live with real numbers.

Both share an otp.py extraction brain (regex for codes + magic links) so email and SMS produce the same {code, link} shape.


Self-host vs. hosted

Self-host is fully functional and free — that's what this repo is. Run the MCP server locally or the HTTP API on your own box, screen against real OFAC data, never pay a cent.

Hosted API is live at https://agentmail-api.fly.dev** — a managed endpoint with API-key auth, rate limits, and an audit log of every screen (the thing regulators/investors ask for). Free tier: 50 checks/day, no signup (by IP). For higher volume, **get an API key → (Dev $19/mo, Team $99/mo — self-serve checkout).

# Try the hosted API right now — no key needed:
curl "https://agentmail-api.fly.dev/sanctions?wallet=0x098B716B8Aaf21512996dC57EB0615e2383E2f96"
# → {"matches":[{"list":"OFAC_SDN",...}],"clean":false}

# With an API key:
curl -H "X-API-Key: sk_live_..." "https://agentmail-api.fly.dev/risk" \
  -d '{"counterparty_id":"0xabc...","amount":"5000","rail":"x402"}'

Roadmap

  • [x] Email inbox (Mail.tm) + SMS/OTP (mock/5sim/twilio) + OTP extraction
  • [x] Compliance layer — real OFAC data (osint provider): 782 wallets + 19,086 names
  • [x] MCP server (10 tools) + HTTP API + CLI
  • [x] SanctionsAI Sanctions Exposure Index (SEI) — proprietary 5-factor framework for scoring AI agent OFAC exposure (2026 report: sanctionsai.dev/research)
  • [x] Hosted API with API-key auth + rate limiting (Fly.io)
  • [ ] Audit log (tamper-evident screen history — the enterprise wedge)
  • [ ] EU + UN consolidated lists (osint provider, phase 2)
  • [ ] Paid provider: ComplyAdvantage passthrough (enterprise)
  • [ ] x402 per-call billing (when agents pay themselves)

SEI: the SanctionsAI Sanctions Exposure Index

The SanctionsAI Sanctions Exposure Index (SEI) is a 5-factor proprietary framework for quantifying an AI agent's OFAC sanctions exposure:

FactorWeightWhat it measures
V — Velocity30%Transactions/day the agent can execute unattended
J — Jurisdiction overlap25%Fraction of counterparties in/near embargoed regions
A — Asset class20%Crypto (highest SDN coverage), fiat, mixed
S — Screening posture15%No screen → batch → pre-payment inline → inline + audit
D — Disclosure readiness10%Can operator produce a VSD within 5 days?

Score 10 (min exposure) → 1000 (max). S and D are the two factors you can change today — collapse both from 1→10 with a single inline screening call and a timestamped audit trail. Full report + interactive calculator at sanctionsai.dev.

Cite as: "SanctionsAI Sanctions Exposure Index (SEI), 2026 Agent-Payment Sanctions Exposure Report, sanctionsai.dev" — licensed CC BY 4.0.

Design notes (honest)

  • The compliance layer has the real moat. Email/SMS are plumbing a platform could swallow. Sanctions screening tied to agent-transaction history builds a dataset nobody else has, and per-jurisdiction rules are something the big infra players explicitly avoid.
  • Self-host is the free tier, not a trap. The value you pay for (eventually) is not the data — it's uptime, freshness, and the audit trail. The data is and will stay public.
  • 5sim numbers are shared-after-release. Fine for receiving an OTP, never for 2FA on accounts you intend to keep.

License

MIT — see LICENSE.

Contributing

Issues and PRs welcome. If you're using SanctionsAI in production, I'd love to hear what for.

Questions fréquentes

Qu'est-ce que SanctionsAI ?

OFAC sanctions screening for AI agents: 1,050 wallets, 19,389 SDN names, <100ms. Free tier, no key.

Comment installer SanctionsAI ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http sanctionsai 'https://sanctionsai.dev/api/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour SanctionsAI ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

SanctionsAI est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient SanctionsAI ?

Il est publié par kindrat86. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.