GCC Sanctions & Terror-List Screener
Screen names vs OFAC, UN, EU, UK and UAE terrorist lists with Arabic-aware matching.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"sanctions-screener": {
"url": "https://screen.noahsarch.tech/mcp"
}
}
}Remote-Endpunkte
https://screen.noahsarch.tech/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (5)
🟢screen_name(name, dob, nationality, entity_type, id_number, ...)
Screen a person, company, vessel or aircraft name against OFAC SDN + Consolidated, UN, EU, UK and the UAE Local Terrorist List. Returns up to 20 hits sorted by score with list, listed_name, aliases_matched, score, match_strength (exact / strong / possible / weak), matched_on (which alias, which normalisation, DOB / nationality / type agreement), programs, listed_on, DOBs, nationalities, id_numbers, reference and source_url, plus decision_hint. Example: name 'Mohamed Hussein Al-Tikriti', dob '1966', nationality 'IQ', entity_type 'individual'. Response: result plus data_confidence, estimated_items[], sources[] (official list pages), data_version (snapshot id), warnings[] (e.g. a list snapshot older than 7 days) and a disclaimer. Lists: ofac_sdn, ofac_cons, un, eu, uk, uae. Names are never logged; matching is deterministic (no AI) and runs offline against the bundled snapshot.
Eingabe-Schema
{
"type": "object",
"properties": {
"name": {
"description": "Full name to screen, Latin or Arabic script (e.g. 'Mohamed Al Rashid' or 'محمد الراشد').",
"title": "Name",
"type": "string"
},
"dob": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Date of birth 'YYYY', 'YYYY-MM' or 'YYYY-MM-DD'. Year match adds, mismatch subtracts; omit if unknown.",
"title": "Dob"
},
"nationality": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Nationality / country of incorporation as ISO 3166-1 alpha-2 ('AE', 'IR', 'GB'). Omit if unknown.",
"title": "Nationality"
},
"entity_type": {
"default": "any",
"description": "individual | entity | vessel | aircraft | any (default). Disagreement with the listed type costs 20 points.",
"enum": [
"individual",
"entity",
"vessel",
"aircraft",
"any"
],
"title": "Entity Type",
"type": "string"
},
"id_number": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Passport / national ID / registration number. An exact match on a listed number is reported as 'exact' (score 100).",
"title": "Id Number"
},
"lists": {
"anyOf": [
{
"items": {
"enum": [
"ofac_sdn",
"ofac_cons",
"un",
"eu",
"uk",
"uae"
],
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"description": "Subset of lists to screen (default all): ofac_sdn, ofac_cons, un, eu, uk, uae.",
"title": "Lists"
},
"min_score": {
"default": 85,
"description": "Minimum score (0–100) for a hit to be returned; default 85. 80 widens the net for onboarding, 92 for alert review.",
"title": "Min Score",
"type": "number"
}
},
"required": [
"name"
],
"title": "screen_nameArguments"
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true,
"title": "screen_nameDictOutput"
}🟢screen_batch(subjects, lists, min_score, default_nationality)
Each subject may carry dob, nationality, entity_type, id_number and your reference. Identical rows are screened once (charged once). Returns per-subject decision_hint, hit_count, top_score and the top 5 hits, plus summary counts (clear / review / likely_match). Charged per unique name. Example: subjects [{name:'Ali Kony', reference:'C-17'}, {name:'شركة الأمل للتجارة', entity_type:'entity'}], default_nationality 'AE'. Response: result plus data_confidence, estimated_items[], sources[] (official list pages), data_version (snapshot id), warnings[] (e.g. a list snapshot older than 7 days) and a disclaimer. Lists: ofac_sdn, ofac_cons, un, eu, uk, uae. Names are never logged; matching is deterministic (no AI) and runs offline against the bundled snapshot.
Eingabe-Schema
{
"type": "object",
"properties": {
"subjects": {
"description": "Up to 500 subjects (name + optional dob / nationality / entity_type / id_number / reference). Identical rows are screened once.",
"items": {
"$ref": "#/$defs/Subject"
},
"title": "Subjects",
"type": "array"
},
"lists": {
"anyOf": [
{
"items": {
"enum": [
"ofac_sdn",
"ofac_cons",
"un",
"eu",
"uk",
"uae"
],
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"description": "Subset of lists to screen (default all): ofac_sdn, ofac_cons, un, eu, uk, uae.",
"title": "Lists"
},
"min_score": {
"default": 85,
"description": "Minimum score (0–100) for a hit to be returned; default 85. 80 widens the net for onboarding, 92 for alert review.",
"title": "Min Score",
"type": "number"
},
"default_nationality": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "ISO2 applied to rows without a nationality.",
"title": "Default Nationality"
}
},
"required": [
"subjects"
],
"$defs": {
"Subject": {
"additionalProperties": false,
"properties": {
"name": {
"description": "Full name, Latin or Arabic script.",
"maxLength": 300,
"minLength": 1,
"title": "Name",
"type": "string"
},
"dob": {
"anyOf": [
{
"maxLength": 10,
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Date of birth 'YYYY', 'YYYY-MM' or 'YYYY-MM-DD'. Year match adds, mismatch subtracts; omit if unknown.",
"title": "Dob"
},
"nationality": {
"anyOf": [
{
"maxLength": 2,
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Nationality / country of incorporation as ISO 3166-1 alpha-2 ('AE', 'IR', 'GB'). Omit if unknown.",
"title": "Nationality"
},
"entity_type": {
"default": "any",
"description": "individual | entity | vessel | aircraft | any (default). Disagreement with the listed type costs 20 points.",
"enum": [
"individual",
"entity",
"vessel",
"aircraft",
"any"
],
"title": "Entity Type",
"type": "string"
},
"id_number": {
"anyOf": [
{
"maxLength": 64,
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Passport / national ID / registration number. An exact match on a listed number is reported as 'exact' (score 100).",
"title": "Id Number"
},
"reference": {
"anyOf": [
{
"maxLength": 120,
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Your own row id / customer reference, echoed back.",
"title": "Reference"
}
},
"required": [
"name"
],
"title": "Subject",
"type": "object"
}
},
"title": "screen_batchArguments"
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true,
"title": "screen_batchDictOutput"
}🟢audit_report(subjects, lists, min_score, prepared_by, case_reference)
Screens 1–50 subjects and returns a self-contained HTML report (result.html): timestamp, each list with its version / fetched-at / SHA-256, the inputs, every hit with its explanation, and an explicit no-match statement for clear subjects — suitable for the client's AML file (open in a browser, print to PDF). One charge per report. Example: subjects [{name:'Qusay Saddam Hussein', dob:'1966'}], case_reference 'KYC-2026-0412', prepared_by 'MLRO'. Response: result plus data_confidence, estimated_items[], sources[] (official list pages), data_version (snapshot id), warnings[] (e.g. a list snapshot older than 7 days) and a disclaimer. Lists: ofac_sdn, ofac_cons, un, eu, uk, uae. Names are never logged; matching is deterministic (no AI) and runs offline against the bundled snapshot.
Eingabe-Schema
{
"type": "object",
"properties": {
"subjects": {
"description": "1 to 50 subjects to include in one report.",
"items": {
"$ref": "#/$defs/Subject"
},
"title": "Subjects",
"type": "array"
},
"lists": {
"anyOf": [
{
"items": {
"enum": [
"ofac_sdn",
"ofac_cons",
"un",
"eu",
"uk",
"uae"
],
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"description": "Subset of lists to screen (default all): ofac_sdn, ofac_cons, un, eu, uk, uae.",
"title": "Lists"
},
"min_score": {
"default": 85,
"description": "Minimum score (0–100) for a hit to be returned; default 85. 80 widens the net for onboarding, 92 for alert review.",
"title": "Min Score",
"type": "number"
},
"prepared_by": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Name / role of the compliance officer, printed on the report.",
"title": "Prepared By"
},
"case_reference": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Your case / client file reference, printed on the report.",
"title": "Case Reference"
}
},
"required": [
"subjects"
],
"$defs": {
"Subject": {
"additionalProperties": false,
"properties": {
"name": {
"description": "Full name, Latin or Arabic script.",
"maxLength": 300,
"minLength": 1,
"title": "Name",
"type": "string"
},
"dob": {
"anyOf": [
{
"maxLength": 10,
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Date of birth 'YYYY', 'YYYY-MM' or 'YYYY-MM-DD'. Year match adds, mismatch subtracts; omit if unknown.",
"title": "Dob"
},
"nationality": {
"anyOf": [
{
"maxLength": 2,
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Nationality / country of incorporation as ISO 3166-1 alpha-2 ('AE', 'IR', 'GB'). Omit if unknown.",
"title": "Nationality"
},
"entity_type": {
"default": "any",
"description": "individual | entity | vessel | aircraft | any (default). Disagreement with the listed type costs 20 points.",
"enum": [
"individual",
"entity",
"vessel",
"aircraft",
"any"
],
"title": "Entity Type",
"type": "string"
},
"id_number": {
"anyOf": [
{
"maxLength": 64,
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Passport / national ID / registration number. An exact match on a listed number is reported as 'exact' (score 100).",
"title": "Id Number"
},
"reference": {
"anyOf": [
{
"maxLength": 120,
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Your own row id / customer reference, echoed back.",
"title": "Reference"
}
},
"required": [
"name"
],
"title": "Subject",
"type": "object"
}
},
"title": "audit_reportArguments"
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true,
"title": "audit_reportDictOutput"
}🟢list_status
Per list: entries (individuals / entities / vessels / aircraft), aliases, fetched_at, days_since_fetch (stale flag when older than 7 days), official source URL and page, SHA-256 of the downloaded file, licence/terms, and any failures of the last refresh. Free. Call it before relying on a 'clear' result in a regulated process. Response: result plus data_confidence, estimated_items[], sources[] (official list pages), data_version (snapshot id), warnings[] (e.g. a list snapshot older than 7 days) and a disclaimer. Lists: ofac_sdn, ofac_cons, un, eu, uk, uae. Names are never logged; matching is deterministic (no AI) and runs offline against the bundled snapshot.
Eingabe-Schema
{
"type": "object",
"properties": {},
"title": "list_statusArguments"
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true,
"title": "list_statusDictOutput"
}🟢explain_match(name_a, name_b)
Normalises both names step by step (Unicode, Arabic letter folding, honorifics/particles dropped, merged 'Abdul…' forms split, romanisation variants folded) and returns every score component (token_sort, token_set, Jaro-Winkler, subset, or the cross-script skeleton) and the resulting score / strength. Free. Example: name_a 'Abd al-Rahman Al Shaikh', name_b 'عبدالرحمن الشيخ'. Response: result plus data_confidence, estimated_items[], sources[] (official list pages), data_version (snapshot id), warnings[] (e.g. a list snapshot older than 7 days) and a disclaimer. Lists: ofac_sdn, ofac_cons, un, eu, uk, uae. Names are never logged; matching is deterministic (no AI) and runs offline against the bundled snapshot.
Eingabe-Schema
{
"type": "object",
"properties": {
"name_a": {
"description": "First name to compare (Latin or Arabic).",
"title": "Name A",
"type": "string"
},
"name_b": {
"description": "Second name to compare (Latin or Arabic).",
"title": "Name B",
"type": "string"
}
},
"required": [
"name_a",
"name_b"
],
"title": "explain_matchArguments"
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true,
"title": "explain_matchDictOutput"
}Community
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