Financial Crime Screening
@apifyforge
关于 Financial Crime Screening
Financial crime screening MCP server that connects your AI agent or compliance workflow to 13 live data sources for AML/CFT due diligence. Give it an entity name and it returns a structured AML Risk Tier — LOW, MEDIUM, HIGH, or PROHIBITED — with dimensional scores, SAR filing rec
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"financial-crime-screening-mcp": {
"url": "https://ryanclinton--financial-crime-screening-mcp.apify.actor/mcp"
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Financial Crime Screening?
Financial Crime Screening is an MCP server that connects your AI agent or compliance workflow to 13 live data sources for AML/CFT due diligence. It screens an entity name and returns a structured AML Risk Tier (LOW, MEDIUM, HIGH, or PROHIBITED) with dimensional scores, SAR filing recommendations, and supporting evidence. The server is built for banks, crypto exchanges, money service businesses, and compliance teams needing audit‑ready risk classifications on demand.
How to use Financial Crime Screening?
Add the server URL https://ryanclinton--financial-crime-screening-mcp.apify.actor/mcp to your MCP client (Claude Desktop, Cursor, Windsurf) under a JSON configuration key. Then call any of the eight MCP tools — for example comprehensive_entity_screen with an entity_name parameter — to screen an individual or company. The server dispatches up to thirteen parallel actor calls and returns results within 30–90 seconds.
Key features of Financial Crime Screening
- Eight focused MCP tools covering the full AML screening workflow
- 13 live data sources queried in real time — no cached copies
- Five‑dimensional AML scoring engine (Sanctions, Transparency, PEP, Regulatory, Proximity)
- Automatic PROHIBITED escalation on direct sanctions match (confidence ≥ 0.95)
- Fuzzy name matching separates exact hits from near‑matches for review queues
- Shell company detection using seven textual indicators across OpenCorporates
- Proximity‑to‑crime convergence scoring for multi‑signal escalation
Use cases of Financial Crime Screening
- Bank customer onboarding and KYC — check new applicants against OFAC, OpenSanctions, Interpol, and FBI simultaneously
- Crypto exchange AML and FinCEN compliance — use
aml_risk_classificationbefore enabling withdrawals - Correspondent banking due diligence — cross‑check FDIC insurance, corporate registration, and CFPB complaints
- Transaction monitoring and SAR investigation — triage alerts via
proximity_to_crime_scoreconvergence levels - PEP screening for high‑value accounts — check FARA registrations and FEC contribution totals
FAQ from Financial Crime Screening
What eight tools does the server expose?
The server exposes comprehensive_entity_screen, sanctions_deep_check, criminal_watchlist_scan, pep_influence_analysis, corporate_shell_detection, financial_institution_verify, proximity_to_crime_score, and aml_risk_classification.
How is the AML Risk Tier determined?
A five‑dimensional scoring engine allocates points across Sanctions (0–35), Corporate Transparency (0–25), Political Exposure (0–20), Financial Regulatory Standing (0–10), and Proximity to Crime (0–10), producing a total score of 0–100. Direct sanctions match (confidence ≥ 0.95) triggers PROHIBITED tier regardless of the composite score.
What transport does the server use?
It uses a stateless Streamable HTTP transport. Each POST to /mcp instantiates a fresh McpServer with no session state, enabling horizontal scaling.
Is there a spending limit or subscription required?
Every tool enforces a spending limit via Actor.charge() before execution. There are no subscriptions or monthly minimums — you pay per tool call. No pricing details are given in the README.
Can I schedule recurring screenings?
Yes. Apify’s built‑in scheduler can run periodic re‑screening on watchlist changes or a compliance calendar. Results can be sent to Slack, email, or connected to case management systems via webhooks.
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