# sanctionwise

> Use this tool when you need to screen names against official sanctions lists to identify potential matches and retrieve detailed designation information. It solves problems related to compliance and due diligence by providing accurate and up-to-date sanctions data. The tool takes names or unique IDs as input and outputs matching sanctions entries with designation details.

Canonical page: https://skillsregistry.net/skills/qinisolabs-sanctionwise  
JSON: https://api.skillsregistry.net/v1/skills/qinisolabs-sanctionwise

## Description

Screens names against the official UK FCDO Sanctions List to identify possible matches with designation details, and retrieves full sanctions entries by unique ID.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zwwmuozhly)
- **Repository:** <https://github.com/qinisolabs/sanctionwise>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "qinisolabs-sanctionwise"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qinisolabs-sanctionwise` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qinisolabs-sanctionwise/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt