Financial Crime Screening MCP Server

AML/CFT composite screening intelligence via the Model Context Protocol. This MCP server orchestrates 13 data sources for sanctions checks, criminal watchlist scans, PEP influence analysis, corporate shell detection, financial institution verification, and proximity-to-crime scoring. Produces AML Risk Tiers (Low/Medium/High/Prohibited) with quantified convergence scores. Purpose-built for banks, crypto exchanges, money service businesses, and compliance teams.

What data can you access?

Data Point	Source
US Treasury SDN and blocked persons	OFAC Sanctions
Global sanctions, PEPs, and watchlists	OpenSanctions
International wanted persons (Red Notices)	Interpol
US federal wanted list	FBI Most Wanted
Foreign agent registrations	FARA Foreign Agents
Corporate registry (140+ jurisdictions)	OpenCorporates
Legal entity identification and verification	GLEIF LEI
Nonprofit 990 financial data	ProPublica Nonprofit
Consumer financial complaints	CFPB Complaints
US bank institution verification	FDIC Bank Data
SEC regulatory filings	SEC EDGAR
Form 4 insider transactions	SEC Insider Trading
Political contribution records	FEC Campaign Finance

MCP Tools

Tool	Price	Description
comprehensive_entity_screen	$1.50	Full entity screening across OFAC, OpenSanctions, Interpol, FBI, corporate registries, and LEI databases. Runs 6-8 actors in parallel for initial customer onboarding
sanctions_deep_check	$1.50	Deep sanctions check with exact and fuzzy match classification across OFAC SDN and OpenSanctions. Returns BLOCKED, REVIEW REQUIRED, or CLEAR verdict
criminal_watchlist_scan	$1.50	Scan Interpol Red Notices and FBI Most Wanted databases with detailed match information including charges, nationalities, and wanted status
pep_influence_analysis	$1.50	Politically exposed person detection using FARA foreign agent registrations and FEC campaign finance records. Identifies political connections and lobbying activity
corporate_shell_detection	$1.50	Shell company indicator analysis checking for nominee directors, registered agents, bearer shares, shell haven jurisdictions, missing LEI, and dissolved entities
financial_institution_verify	$1.50	Verify financial institution regulatory standing through FDIC insurance status, corporate registration, and CFPB consumer complaint analysis
proximity_to_crime_score	$3.00	Quantified proximity-to-crime scoring measuring signal convergence across 6 adverse categories. Convergence of multiple signals is a stronger AML indicator than any single hit
aml_risk_classification	$3.00	Full AML risk classification running all 13 actors. Scores 5 dimensions and produces LOW, MEDIUM, HIGH, or PROHIBITED tier with SAR filing recommendation

Data Sources

• OFAC Sanctions -- US Treasury Specially Designated Nationals and Blocked Persons list with fuzzy name matching for variant spellings and transliterations
• OpenSanctions -- Consolidated watchlist covering 100+ international sanctions lists, PEP databases, and enforcement records
• Interpol Red Notices -- International Criminal Police Organization database of wanted persons with global coverage
• FBI Most Wanted -- Federal Bureau of Investigation wanted persons list including Most Wanted, fugitives, and terrorism suspects
• FARA Foreign Agents -- Foreign Agents Registration Act database identifying individuals and entities acting as agents of foreign governments
• OpenCorporates -- Global corporate registry with 200M+ company records for shell company detection and ownership verification
• GLEIF LEI -- Legal Entity Identifier database for verifying corporate identity and reducing opacity in financial transactions
• ProPublica Nonprofit Explorer -- IRS 990 nonprofit financial data for identifying potential money laundering through nonprofit structures
• CFPB Complaints -- Consumer Financial Protection Bureau complaint database revealing patterns of financial service abuse
• FDIC Bank Data -- Federal Deposit Insurance Corporation database for verifying US bank institution regulatory standing and insurance status
• SEC EDGAR -- Securities and Exchange Commission full-text filing search for regulatory filing analysis
• SEC Insider Trading -- Form 4 insider transaction disclosures revealing unusual trading patterns
• FEC Campaign Finance -- Federal Election Commission political contribution records for PEP identification

How the scoring works

The aml_risk_classification tool scores across 5 dimensions to produce a final AML Risk Tier.

Sanctions Exposure -- OFAC and OpenSanctions hit density with match confidence scoring. Any direct sanctions match with high confidence automatically triggers PROHIBITED tier.

Corporate Transparency -- OpenCorporates records, LEI verification, and shell company indicators. Companies registered in shell haven jurisdictions (Panama, BVI, Cayman, Belize, Seychelles, Samoa, Vanuatu, Marshall Islands, Bermuda) with nominee directors and no LEI receive maximum opacity scores.

Political Exposure -- FARA foreign agent registrations and FEC campaign finance above $10,000 trigger PEP classification requiring enhanced due diligence.

Financial Regulatory Standing -- FDIC insurance verification, CFPB complaint density, and SEC filing status.

Proximity to Crime -- Convergence scoring where each active adverse signal category adds 17 points. Categories: OFAC/OpenSanctions, Interpol, FBI, Foreign Agent (FARA), Consumer Complaints (>20), Shell Company Indicators.

Risk Tier	Meaning
PROHIBITED	Direct sanctions match -- do not proceed, file SAR
HIGH	Multiple adverse signals converge -- file SAR, escalate to compliance
MEDIUM	Some risk indicators -- enhanced monitoring, verify source of wealth
LOW	No significant adverse signals -- standard processing

Convergence Score	Level
68-100	CRITICAL -- multiple categories converge
51-67	HIGH -- significant convergence
34-50	MODERATE -- some signal overlap
17-33	LOW -- isolated signals
0-16	NONE -- no adverse signals

How to connect this MCP server

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "financial-crime-screening": {
      "url": "https://financial-crime-screening-mcp.apify.actor/mcp"
    }
  }
}

Programmatic (HTTP)

curl -X POST https://financial-crime-screening-mcp.apify.actor/mcp \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"comprehensive_entity_screen","arguments":{"entity_name":"John Smith","entity_type":"individual"}},"id":1}'

This MCP also works with Cursor, Windsurf, Cline, and any other MCP-compatible client.

Use cases for financial crime screening

Bank Customer Onboarding

Automate AML screening for new account opening with comprehensive entity screening across sanctions, criminal watchlists, and corporate registries. Get audit-ready risk classifications.

Crypto Exchange KYC/AML

Comply with MiCA and FinCEN requirements by screening users against OFAC, OpenSanctions, Interpol, and FBI databases before enabling trading or withdrawal.

Correspondent Banking Due Diligence

Verify financial institution regulatory standing through FDIC insurance status, corporate registration, and consumer complaint analysis before establishing correspondent relationships.

Suspicious Activity Detection

Use the proximity-to-crime score to quantify when multiple adverse signals converge on an entity -- a stronger indicator of AML risk than any single watchlist hit.

PEP Screening and Monitoring

Identify politically exposed persons through FARA foreign agent registrations and FEC campaign finance records. Apply enhanced due diligence for high-value PEP accounts.

Shell Company Investigation

Detect shell company indicators including nominee directors, registered agents, bearer shares, shell haven jurisdictions, and missing LEI to identify potential money laundering structures.

How much does it cost?

This MCP uses pay-per-event pricing. You are only charged when a tool is called -- there is no subscription or monthly fee.

The Apify Free plan includes $5 of monthly platform credits, covering multiple screenings at no cost.

Cost examples:

• Quick entity screen: $1.50
• Deep sanctions check: $1.50
• Full AML risk classification (13 actors): $3.00
• Comprehensive onboarding (screen + shell + PEP): $4.50

How it works

1. You call a tool (e.g., aml_risk_classification) with an entity name and type (individual/company)
2. The MCP dispatches parallel requests to up to 13 Apify actors simultaneously
3. Sanctions lists, criminal watchlists, foreign agent records, campaign finance, corporate registries, and financial institution data are collected
4. The AML scoring engine computes sanctions exposure, corporate transparency, political exposure, financial standing, and proximity-to-crime convergence
5. A structured JSON response is returned with the AML Risk Tier, dimensional scores, SAR recommendation, and all supporting evidence

FAQ

Q: How does fuzzy name matching work? A: OFAC and OpenSanctions use built-in fuzzy matching (Levenshtein distance, transliteration) to catch variant spellings of sanctioned names. The sanctions deep check separates exact matches (score >= 0.95) from fuzzy matches (0.50-0.95) for review prioritization.

Q: What is the difference between this and the Counterparty Due Diligence MCP? A: This MCP focuses specifically on AML/CFT compliance with criminal watchlists, sanctions, and proximity-to-crime scoring. The Counterparty Due Diligence MCP is broader, covering corporate structure, digital presence, and financial health for general business due diligence.

Q: Does it support batch screening? A: Call the tools individually per entity. For batch processing, use the Apify API to run multiple screenings programmatically in parallel.

Q: How current are the watchlists? A: All databases are queried live at screening time. Results reflect the current published state of OFAC, OpenSanctions, Interpol, and FBI databases.

Q: Is it legal to use this for compliance screening? A: This tool accesses only publicly available data and is designed to assist compliance workflows. It does not replace official sanctions screening obligations. See Apify's guide on web scraping legality.

Q: Can it generate SAR-ready documentation? A: The aml_risk_classification tool provides structured risk classification with dimensional scores and evidence. While not a formal SAR filing, the output provides the analytical basis for SAR narrative preparation.

Related MCP servers

MCP Server	Description
ryanclinton/counterparty-due-diligence-mcp	Corporate KYB with 18 data sources for general business due diligence
ryanclinton/sanctions-evasion-network-mcp	Advanced structural sanctions evasion detection
ryanclinton/crypto-compliance-intelligence-mcp	Digital asset regulatory compliance intelligence
ryanclinton/export-control-screening-mcp	Dual-use technology and trade compliance screening

Integrations

This MCP server runs on the Apify platform and supports:

• Apify API -- Call any tool programmatically via the Apify Actor API
• Scheduling -- Set up recurring screening for ongoing monitoring obligations
• Webhooks -- Get notified when screenings complete for integration with case management systems
• Apify integrations -- Connect to Slack, Google Sheets, Zapier, Make, and other platforms