OpenSanctions MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect OpenSanctions 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 OpenSanctions "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in OpenSanctions?"
)
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 OpenSanctions MCP Server
Connect to OpenSanctions and access the world's largest open sanctions and PEP screening database through natural conversation — no API key needed for non-commercial use.
Pydantic AI validates every OpenSanctions tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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
- Entity Search — Search for sanctioned persons, companies and vessels by name
- Sanctions Screening — Screen names against global sanctions lists (OFAC, EU, UN, UK HMT)
- PEP Screening — Screen persons against Politically Exposed Persons databases
- Entity Details — Get full entity info including aliases, dates of birth, nationalities and addresses
- Vessel Search — Search sanctioned vessels by name or IMO number
- Dataset Browser — Browse all available sanctions datasets worldwide
The OpenSanctions MCP Server exposes 8 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 OpenSanctions to Pydantic AI via MCP
Follow these steps to integrate the OpenSanctions 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 8 tools from OpenSanctions with type-safe schemas
Why Use Pydantic AI with the OpenSanctions MCP Server
Pydantic AI provides unique advantages when paired with OpenSanctions 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 OpenSanctions integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your OpenSanctions connection logic from agent behavior for testable, maintainable code
OpenSanctions + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the OpenSanctions MCP Server delivers measurable value.
Type-safe data pipelines: query OpenSanctions with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple OpenSanctions tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query OpenSanctions and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock OpenSanctions responses and write comprehensive agent tests
OpenSanctions MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect OpenSanctions to Pydantic AI via MCP:
get_datasets
Returns dataset names, descriptions, publisher info and entity counts. Get list of all sanctions datasets available
get_entity
Returns full entity details including names, aliases, dates of birth, nationalities, addresses, sanctions details, related entities and source datasets. Get detailed info for a specific entity by ID
match_pep
Returns match scores, matched entities, political positions and source datasets. Useful for KYC/AML compliance checks. Screen a name against Politically Exposed Persons (PEP) lists
match_sanctions
Uses fuzzy matching to find potential matches. Returns match scores, matched entities and sanction details. Use threshold parameter (0.0-1.0) to adjust sensitivity. Default 0.85. Screen a name against global sanctions lists
search_company
Returns company names, registration numbers, jurisdictions, addresses and sanctions status. Search for companies in the sanctions database
search_entities
Supports free-text search with fuzzy matching. Returns entity names, types (Person, Company, Vessel), countries and dataset sources. Use schema parameter to filter by entity type (Person, Company, Vessel, etc.). Search sanctions and PEP entities by name
search_person
Returns person names, aliases, dates of birth, nationalities, countries and sanctions status. Search for persons in the sanctions database
search_vessel
Returns vessel names, IMO numbers, flags, owners and sanctions status. Search for vessels (ships) in the sanctions database
Example Prompts for OpenSanctions in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with OpenSanctions immediately.
"Screen 'Vladimir Putin' against sanctions lists."
"Search for companies sanctioned in Russia."
"What sanctions datasets are available?"
Troubleshooting OpenSanctions MCP Server with Pydantic AI
Common issues when connecting OpenSanctions to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOpenSanctions + Pydantic AI FAQ
Common questions about integrating OpenSanctions 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 OpenSanctions 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 OpenSanctions to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.