sanctions_screener_multi
Screening Sanctions Multi-listes — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Answers: For <entity>, run full OFAC + EU + UK HMT + UN + SECO + Canada SEMA + PEP + adverse media screening with composite risk score and evidence trail. · Is <company/indi...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/sanctions-screener-multi.md
What sanctions_screener_multi does on Mcp Knowledge
AI agents call sanctions_screener_multi to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
address | string | — | |
aliases | array | — | |
entity_name | string | Yes | |
entity_type | string | Yes | |
context_note | string | — | |
date_of_birth | string | — | |
jurisdiction_focus | string | Yes | |
country_of_registration | string | — | |
adverse_media_lookback_days | integer | Yes |
Parameters from the server's own tool schema.
Why sanctions_screener_multi is rated Low
The tool queries multiple external sanctions databases (OFAC, EU, UN, HMT, SECO, SEMA, PEP, adverse media) and returns a composite risk score and evidence trail. This is a read/query operation with no indication of writing or modifying data.
From the tool's definition 'run full OFAC + EU + UK HMT + UN + SECO + Canada SEMA + PEP + adverse media screening with composite risk score and evidence trail' — the tool retrieves and aggregates data from multiple sanctions watchlists and returns a structured report
Risk signalsHigh parameter count (10 properties)
Attacks that exploit this kind of access
The rule that runs sanctions_screener_multi safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For sanctions_screener_multi, this is the rule to start with:
sanctions_screener_multi is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every sanctions_screener_multi call is checked against it from then on.
Questions about sanctions_screener_multi
Screening Sanctions Multi-listes — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Answers: For <entity>, run full OFAC + EU + UK HMT + UN + SECO + Canada SEMA + PEP + adverse media screening with composite risk score and evidence trail. · Is <company/individual> on any major international sanctions list? · What is the composite AML risk score for <entity> across all major watchlists? · Screen this M&A target / supplier / LP against all major sanctions lists and give me a compliance recommendation. · Is <entity> a PEP or associated with a PEP? What Enhanced Due Diligence is required? Reference case: Veridian Trading Co. LLC (Cyprus) — 7 listes · PEP check · adverse media 2 ans · composite 52/100 · escalate-to-compliance → EDD requis. Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
sanctions_screener_multi accepts 10 parameters: async, address, aliases, entity_name, entity_type, context_note, date_of_birth, jurisdiction_focus, country_of_registration, adverse_media_lookback_days. Required: entity_name, entity_type, jurisdiction_focus, adverse_media_lookback_days. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for sanctions_screener_multi: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.
sanctions_screener_multi is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the sanctions_screener_multi rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for sanctions_screener_multi. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
sanctions_screener_multi is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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