aml-ai-mcp: Cursor rule for Cursor

.cursorrules

cursorrules is a cursor rule for Cursor from CSOAI-ORG/aml-ai-mcp. It costs 183 tokens per session, scanned A, original, MIT.

A set of rules that routes questions about money-laundering prevention and customer checks to specialised compliance tools. AML means anti-money-laundering; KYC means checking who a customer is; PEP means a politically exposed person.

In plain words
What is it for?
Use it for questions about sanctions, customer due diligence, transaction monitoring, suspicious-activity reports, and whether an organisation falls under AML rules.
Why use it?
It helps ensure compliance questions use the intended tools instead of being handled without the required checks or legal context.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

This is CSOAI-ORG/aml-ai-mcp's own configuration. It tells Cursor how to work on aml-ai-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything aml-ai-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to CSOAI-ORG/aml-ai-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/CSOAI-ORG/aml-ai-mcp/main/.cursorrules
Clone the repo
git clone --depth 1 https://github.com/CSOAI-ORG/aml-ai-mcp

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cursorrules

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cursorrules

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Per session 183 This file is loaded in full into every session.
When invoked 183 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00183 $0.00183
Opus 5.5 $0.00073 $0.00073
Sonnet 5.5 $0.00037 $0.00037
Haiku 4.5 $0.00018 $0.00018

Measured 2mo ago against content hash 0b900536618f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cursorrules scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursorrules · 14 lines

What it actually says

AML / 6AMLD AI Compliance MCP - Auto-trigger Rules

When the user asks about AML, 6AMLD, MLR 2017, sanctions, PEP, KYC, transaction monitoring, SAR, use aml-ai-mcp tools:

  • classify_obliged_entity: Determine if entity falls within 6AMLD scope
  • kyc_cdd_audit: Customer Due Diligence + Enhanced Due Diligence audit
  • sanctions_screening: OFAC + EU + UK + UN sanctions list screening check
  • transaction_monitoring: AI-based transaction monitoring rule effectiveness audit
  • sar_filing_check: Suspicious Activity Report filing trigger conditions

Install: pip install aml-ai-mcp

By MEOK AI Labs — industry governance MCP. Pairs with meok-attestation-api for signed compliance certs.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 14 lines · 183 tokens per session scan A 0b900536618f

Subscribe to this mod's changes

cursorrules is a cursor rule published in the GitHub repository CSOAI-ORG/aml-ai-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 183 tokens to every session, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

cursorrules compared with cursor rules from other repositories

cursorrules next to 6 cursor rules from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
cursorrulesCSOAI-ORG/aml-ai-mcpCursor rule01mo agoMITA183Cursor
csoai-reviewCSOAI-ORG/councilof-aiCursor rule4todayMITA517Cursor
legalithm-eu-ai-actlegalithm-org/legalithmCursor rule124d agoMITA0Cursor
ponytailDietrichGebert/ponytailCursor rule185k8d agoMITA604Cursor
angular-20angular/angularCursor rule101kyesterdayMITA0Cursor
dev-standardapache/supersetCursor rule75kyesterdayApache-2.0A1,147Cursor
prefer-assertions-over-defensive-checksprisma/ormCursor rule48kyesterdayApache-2.0A0Cursor