Data source: OFAC, EU, UN, UK OFSI, ICIJ Offshore Leaks, GLEIF
https://context.gnist.ai/mcp/compliance-screening/
AuthenticationAll requests require a Gnist-API-Key header (or api_key query parameter).
Free tier: 100 calls/day. Get your API key.
Tools (3)
screen_entityScreen an entity for sanctions, offshore leaks, and corporate registry hits.
Queries OFAC/EU/UN/UK sanctions lists, ICIJ Offshore Leaks (Panama/Paradise/Pandora
Papers), and GLEIF corporate registry in parallel. Returns a unified risk assessment.
The risk_level field summarizes the findings:
- clear: no matches found in any database
- low: minor signals only
- medium: possible matches requiring review
- high: probable matches in sanctions or offshore leaks
- critical: high-confidence sanctions match
Examples:
screen_entity(name="Gazprom")
screen_entity(name="Kim Jong Un", entity_type="individual")
screen_entity(name="Evrofinance Mosnarbank", country="Russia")
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | required | Entity name to screen — person, company, or organization. |
entity_type | any | optional | Filter: 'individual', 'entity', or 'vessel'. |
country | any | optional | Filter by country name or code. |
threshold | number | optional | Sanctions fuzzy-match threshold (50-100). Lower = more results. (default: 80.0) |
limit | integer | optional | Max results per source. (default: 10) |
{
"jsonrpc": "2.0",
"method": "tools/call",
"id": 1,
"params": {
"name": "screen_entity",
"arguments": {
"name": "123456789"
}
}
}list_compliance_sourcesList all compliance data sources, their coverage, and data types.
Shows which sanctions lists, leak databases, and corporate registries
are searched during screening.
Examples:
list_compliance_sources()
{
"jsonrpc": "2.0",
"method": "tools/call",
"id": 1,
"params": {
"name": "list_compliance_sources",
"arguments": {}
}
}report_feedbackReport a bug, feature request, or general feedback for this data source.
Use this when something doesn't work as expected, when you'd like
a new feature, or when you have suggestions for improvement.
Args:
feedback: Describe the issue or suggestion.
feedback_type: One of 'bug', 'feature_request', or 'general'.
| Parameter | Type | Required | Description |
|---|---|---|---|
feedback | string | required | |
feedback_type | string | optional | (default: "general") |
{
"jsonrpc": "2.0",
"method": "tools/call",
"id": 1,
"params": {
"name": "report_feedback",
"arguments": {
"feedback": "example"
}
}
}Quick Start
curl -X POST "https://context.gnist.ai/mcp/compliance-screening/" \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "screen_entity", "arguments": {"name": "example"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/compliance-screening/",
headers={"Gnist-API-Key": "YOUR_API_KEY", "Content-Type": "application/json"},
json={
"jsonrpc": "2.0",
"method": "tools/call",
"id": 1,
"params": {
"name": "screen_entity",
"arguments": {
"name": "example"
}
}
},
)
print(resp.json())