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Aml

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AMLOracle — 12-tool AML/CFT MCP: 87k sanctions names, PEP screening, adverse media, SAR/STR.

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https://tooloracle.io/aml/mcp/

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adverse_media

Negative news screening: fraud, money laundering, corruption, sanctions. AMLR Art. 55 ongoing monitoring.

langstring

Language: en or de (default: en)

namestring

Person or company name to screen

limitinteger

Max articles 1-20 (default: 10)

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Aml MCP server | mcptry

Tools (12)

adverse_media

Negative news screening: fraud, money laundering, corruption, sanctions. AMLR Art. 55 ongoing monitoring.

Argument	Type	Description
lang	string	Language: en or de (default: en)
name	string	Person or company name to screen
limit	integer	Max articles 1-20 (default: 10)

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "lang": {
      "type": "string",
      "description": "Language: en or de (default: en)"
    },
    "name": {
      "type": "string",
      "description": "Person or company name to screen"
    },
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 20,
      "minimum": 1,
      "description": "Max articles 1-20 (default: 10)"
    }
  },
  "additionalProperties": false
}

aml_news

AMLR / AMLA / AMLD6 regulatory news. Topics: general, amla, amlr, sanctions, crypto_aml, fatf, de_geldwaesche, pep, kyc, str.

Argument	Type	Description
lang	string	Language: en or de (default: en)
limit	integer	Max articles 1-20 (default: 10)
topic	string	Topic: general, amla, amlr, sanctions, crypto_aml, fatf, de_geldwaesche, pep, kyc, str

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "lang": {
      "type": "string",
      "description": "Language: en or de (default: en)"
    },
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 20,
      "minimum": 1,
      "description": "Max articles 1-20 (default: 10)"
    },
    "topic": {
      "type": "string",
      "description": "Topic: general, amla, amlr, sanctions, crypto_aml, fatf, de_geldwaesche, pep, kyc, str"
    }
  },
  "additionalProperties": false
}

amlr_calendar

AMLR compliance milestones. Key: 1 July 2026 full application, €10k cash limit, crypto Travel Rule €0.

No arguments.

Input schema (JSON)

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

country_risk

Country risk assessment: FATF Blacklist, Greylist, EU High-Risk. AMLR Art. 16+18.

Argument	Type	Description
country	string	Country name or ISO code e.g. 'Iran', 'Nigeria', 'RU'

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "country": {
      "type": "string",
      "description": "Country name or ISO code e.g. 'Iran', 'Nigeria', 'RU'"
    }
  },
  "additionalProperties": false
}

health_check

AMLOracle server status, backend checks, and watchlist cache status.

No arguments.

Input schema (JSON)

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

kyc_bundle

Full KYC in one call: Sanctions + PEP + Adverse Media + Country Risk. Returns overall risk level and AMLR decision.

Argument	Type	Description
name	string	Person or company name
country	string	Country of origin/residence (optional)
entity_type	string	person or company (default: person)

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Person or company name"
    },
    "country": {
      "type": "string",
      "description": "Country of origin/residence (optional)"
    },
    "entity_type": {
      "type": "string",
      "description": "person or company (default: person)"
    }
  },
  "additionalProperties": false
}

pep_check

PEP (Politically Exposed Person) check via Wikidata. AMLR Art. 22 enhanced CDD for PEPs.

Argument	Type	Description
name	string	Full name e.g. 'Vladimir Putin', 'Angela Merkel'
country	string	Country to narrow search (optional)

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Full name e.g. 'Vladimir Putin', 'Angela Merkel'"
    },
    "country": {
      "type": "string",
      "description": "Country to narrow search (optional)"
    }
  },
  "additionalProperties": false
}

sanctions_detail

Full entity record for sanctions hit. Returns UN XML detail, aliases, nationality, designation.

Argument	Type	Description
name	string	Name to look up

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Name to look up"
    }
  },
  "additionalProperties": false
}

sanctions_screen

Screen any name against EU FSF (14k), OFAC SDN (69k), UN SC (3k), Interpol (13k) watchlists. AMLR Art. 35.

Argument	Type	Description
name	string	Name to screen e.g. 'Gazprom', 'Ivan Petrov'
threshold	number	Match threshold 0.7-1.0 (default: 0.85)
entity_type	string	person or company (default: any)

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Name to screen e.g. 'Gazprom', 'Ivan Petrov'"
    },
    "threshold": {
      "type": "number",
      "default": 0.85,
      "description": "Match threshold 0.7-1.0 (default: 0.85)"
    },
    "entity_type": {
      "type": "string",
      "description": "person or company (default: any)"
    }
  },
  "additionalProperties": false
}

transaction_risk

AML transaction risk scoring: amount, corridor, sender screening. AMLR Art. 35+82.

Argument	Type	Description
amount	number	Transaction amount
purpose	string	Transaction purpose/description
currency	string	Currency code (default: EUR)
sender_name	string	Sender name (screened against watchlists)
origin_country	string	Sender country
destination_country	string	Receiver country

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "amount": {
      "type": "number",
      "description": "Transaction amount"
    },
    "purpose": {
      "type": "string",
      "description": "Transaction purpose/description"
    },
    "currency": {
      "type": "string",
      "description": "Currency code (default: EUR)"
    },
    "sender_name": {
      "type": "string",
      "description": "Sender name (screened against watchlists)"
    },
    "origin_country": {
      "type": "string",
      "description": "Sender country"
    },
    "destination_country": {
      "type": "string",
      "description": "Receiver country"
    }
  },
  "additionalProperties": false
}

ubo_lookup

Ultimate Beneficial Owner (UBO) identification via GLEIF LEI ownership register. AMLR Art. 42.

Argument	Type	Description
lei	string	LEI code (alternative to company name)
company	string	Company name e.g. 'Volkswagen AG'

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "lei": {
      "type": "string",
      "description": "LEI code (alternative to company name)"
    },
    "company": {
      "type": "string",
      "description": "Company name e.g. 'Volkswagen AG'"
    }
  },
  "additionalProperties": false
}

watchlist_update

Check watchlist freshness and reload from OpenSanctions. Use force_reload=true to refresh cache.

Argument	Type	Description
force_reload	boolean	Force reload all watchlists from OpenSanctions (default: false)

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "force_reload": {
      "type": "boolean",
      "description": "Force reload all watchlists from OpenSanctions (default: false)"
    }
  },
  "additionalProperties": false
}