OpenSanctions MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect OpenSanctions through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"opensanctions": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using OpenSanctions, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with OpenSanctions through native MCP adapters. Connect 8 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the OpenSanctions MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from OpenSanctions via MCP
Why Use LangChain with the OpenSanctions MCP Server
LangChain provides unique advantages when paired with OpenSanctions through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine OpenSanctions MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across OpenSanctions queries for multi-turn workflows
OpenSanctions + LangChain Use Cases
Practical scenarios where LangChain combined with the OpenSanctions MCP Server delivers measurable value.
RAG with live data: combine OpenSanctions tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query OpenSanctions, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain OpenSanctions tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every OpenSanctions tool call, measure latency, and optimize your agent's performance
OpenSanctions MCP Tools for LangChain (8)
These 8 tools become available when you connect OpenSanctions to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting OpenSanctions to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOpenSanctions + LangChain FAQ
Common questions about integrating OpenSanctions MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.