MCP server
SanctionsKit developer MCP Official
io.github.SanctionsKit/sanctionskit
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Sanctions API docs and request validation, with account-linked synthetic sandbox testing.
Working at last checkOfficial: sanctionskit.com's GitHub account (SanctionsKit)About 1,811 tokens per request once connected9 tools
https://www.sanctionskit.com/mcp
At a glance
- Type
- MCP server
- Publisher
- sanctionskit.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 9
- Token cost
- About 1,811 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
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 sanctionskit https://www.sanctionskit.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.sanctionskit] url = "https://www.sanctionskit.com/mcp"
Gemini CLI
{"mcpServers":{"sanctionskit":{"httpUrl":"https://www.sanctionskit.com/mcp"}}}
Cursor
{"mcpServers":{"sanctionskit":{"url":"https://www.sanctionskit.com/mcp"}}}
VS Code
{"servers":{"sanctionskit":{"type":"http","url":"https://www.sanctionskit.com/mcp"}}}
Antigravity
agy mcp add sanctionskit https://www.sanctionskit.com/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":"sanctionskit","server_url":"https://www.sanctionskit.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"sanctionskit","server_url":"https://www.sanctionskit.com/mcp"}
Tools
get_api_schema~159 tokens
Without path, list consumer REST operations. With a path such as /screenings and lowercase method, retrieve its OpenAPI request, response, examples and referenced schemas. Describes REST capabilities; MCP account tools are sandbox only.get_doc~121 tokens
Read a document returned by search_docs, including code examples and error handling. Uses a fixed local document catalog; does not fetch arbitrary URLs.get_profile~82 tokens
Identify the sandbox profile represented by the authenticated connection. Takes no user or workspace selector.get_screening_result~174 tokens
Retrieve retained evidence by screening ID from the connected sandbox workspace. An expired result is an error. Preserve coverage, versions, warnings and potential-match review requirements.get_usage~76 tokens
Read the connected sandbox workspace allowance, completed subjects and pending reservations.list_sources~163 tokens
Read current source metadata and qualification from the connected sandbox workspace, with bounded pagination. Catalog/production source availability does not enable live MCP screenings; sandbox screening uses sandbox@1.run_sandbox_screening~789 tokens
Submit invented data to sandbox@1. Requires synthetic=true and an idempotencyKey of 8–128 URL-safe characters, reused unchanged with the same request for retries. Retains screening evidence according to policy and may create a review case; consumes sandbox allowance, never paid production allowance.search_docs~126 tokens
Find current integration documentation and guides by keyword. Returns document slugs for get_doc. Public; no account needed.validate_screening_request~121 tokens
Validate request structure against the runtime REST screening schema without submitting or retaining it. Does not check live source eligibility or grant clearance. Use synthetic development inputs.
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