OFAC Sanctions Service MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect OFAC Sanctions Service through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to OFAC Sanctions Service "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in OFAC Sanctions Service?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About OFAC Sanctions Service MCP Server
Connect to the OFAC Sanctions List Service (SLS) API through your AI agent and explore authoritative data on sanctioned individuals, groups, and entities using natural conversation.
Pydantic AI validates every OFAC Sanctions Service tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- List Discovery — Retrieve identifiers for all available sanctions lists, including the Specially Designated Nationals (SDN) and Consolidated Non-SDN lists.
- Update Monitoring — Check the timestamp of the last update for any sanctions list to ensure you are using the most current data.
- Version Tracking — List historical and current versions of sanctions lists and retrieve specific version metadata.
- Entity Inspection — Access detailed profile information for specific sanctioned entities, including names, aliases, and addresses.
- Deltas & Full Versions — Retrieve metadata for full list versions or just the changes (deltas) between specific versions.
- Entry Metrics — Get the total count of entities within a specific list version for audit purposes.
- Tag Management — List all descriptive tags and labels associated with list versions.
The OFAC Sanctions Service MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect OFAC Sanctions Service to Pydantic AI via MCP
Follow these steps to integrate the OFAC Sanctions Service MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from OFAC Sanctions Service with type-safe schemas
Why Use Pydantic AI with the OFAC Sanctions Service MCP Server
Pydantic AI provides unique advantages when paired with OFAC Sanctions Service through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your OFAC Sanctions Service integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your OFAC Sanctions Service connection logic from agent behavior for testable, maintainable code
OFAC Sanctions Service + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the OFAC Sanctions Service MCP Server delivers measurable value.
Type-safe data pipelines: query OFAC Sanctions Service with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple OFAC Sanctions Service tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query OFAC Sanctions Service and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock OFAC Sanctions Service responses and write comprehensive agent tests
OFAC Sanctions Service MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect OFAC Sanctions Service to Pydantic AI via MCP:
get_delta_version_metadata
Get delta version metadata
get_entity_details
Get specific entity metadata
get_full_version_metadata
Get full version metadata
get_list_last_updated
Check for list updates
get_sls_about
Get SLS API info
get_version_entry_count
Get total entries in a version
list_list_versions
List versions of a sanctions list
list_sanctions_lists
g. SDN, NONSDN). List available sanctions lists
list_version_entities
List entities in a version
list_version_tags
List tags for a version
Example Prompts for OFAC Sanctions Service in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with OFAC Sanctions Service immediately.
"When was the SDN sanctions list last updated?"
"Get the details for entity ID '12345' in the latest SDN version."
"List all historical versions available for the SDN list."
Troubleshooting OFAC Sanctions Service MCP Server with Pydantic AI
Common issues when connecting OFAC Sanctions Service to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOFAC Sanctions Service + Pydantic AI FAQ
Common questions about integrating OFAC Sanctions Service MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect OFAC Sanctions Service with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect OFAC Sanctions Service to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
