OpenSanctions MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add OpenSanctions as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to OpenSanctions. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in OpenSanctions?"
)
print(response)
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.
LlamaIndex agents combine OpenSanctions tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the OpenSanctions MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the OpenSanctions MCP Server
LlamaIndex provides unique advantages when paired with OpenSanctions through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine OpenSanctions tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain OpenSanctions tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query OpenSanctions, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what OpenSanctions tools were called, what data was returned, and how it influenced the final answer
OpenSanctions + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the OpenSanctions MCP Server delivers measurable value.
Hybrid search: combine OpenSanctions real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query OpenSanctions to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying OpenSanctions for fresh data
Analytical workflows: chain OpenSanctions queries with LlamaIndex's data connectors to build multi-source analytical reports
OpenSanctions MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect OpenSanctions to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting OpenSanctions to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOpenSanctions + LlamaIndex FAQ
Common questions about integrating OpenSanctions MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.