MCP server

Sanctions Io

io.github.pipeworx-io/sanctions-io

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

sanctions.io MCP — wraps the sanctions.io Screening API (api.sanctions.io)

Website Source

At a glance

Type

MCP server

Publisher

pipeworx.io (verified by the MCP Registry)

Status

Working at last check

Tools

44

Token cost

About 27,523 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http sanctions-io https://gateway.pipeworx.io/sanctions-io/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.sanctions-io]
url = "https://gateway.pipeworx.io/sanctions-io/mcp"

Gemini CLI

{"mcpServers":{"sanctions-io":{"httpUrl":"https://gateway.pipeworx.io/sanctions-io/mcp"}}}

Cursor

{"mcpServers":{"sanctions-io":{"url":"https://gateway.pipeworx.io/sanctions-io/mcp"}}}

VS Code

{"servers":{"sanctions-io":{"type":"http","url":"https://gateway.pipeworx.io/sanctions-io/mcp"}}}

Antigravity

agy mcp add sanctions-io https://gateway.pipeworx.io/sanctions-io/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"sanctions-io","server_url":"https://gateway.pipeworx.io/sanctions-io/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"sanctions-io","server_url":"https://gateway.pipeworx.io/sanctions-io/mcp"}

Tools

• sanctions_bulk ~734 tokens
  Batch-screen up to 10,000 records against sanctions/PEP/watchlists in one request. Pass a `records` array of objects (each with a name, plus optional entity_type/external_identifier/date_of_birth/identifier/country). Top-level min_score/data_source/entity_type act as defaults applied to any record t
• sanctions_search ~486 tokens
  Screen a single name against global sanctions, PEP, and watchlists (OFAC, EU, UN, FATF, criminal, adverse media) for AML compliance. Returns scored entity matches with list metadata. Example: sanctions_search({ name: "Vladimir Putin", entity_type: "individual", min_score: 0.9, _apiKey: "your-key" })

Browse

• GitHub tools
• GitHub and code hosting

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