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SEON MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Add Label, Add To List, Aml Screening, and more

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SEON 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 App Connector for LlamaIndex

The SEON app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 SEON. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in SEON?"
    )
    print(response)

asyncio.run(main())
SEON
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 SEON MCP Server

Connect your SEON account to any AI agent and take full control of your fraud prevention and risk management orchestration through natural conversation. SEON provides a modular and powerful platform for transaction scoring, digital footprinting, and AML compliance, and this integration allows you to retrieve risk metadata, perform real-time checks, and manage blacklists directly from your chat interface.

LlamaIndex agents combine SEON tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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

  • Fraud & Risk Orchestration — Perform real-time fraud checks on transactions and registrations programmatically to protect your business revenue.
  • Digital Footprint Intelligence — Retrieve social media and domain metadata for emails, phone numbers, and IP addresses directly from the AI interface.
  • AML & Compliance Control — Screen users against global sanctions, PEP, and criminal watchlists to ensure regulatory compliance via natural language.
  • Machine Learning & Feedback — Send feedback labels and manage custom blacklists/whitelists to train your fraud models and ensure they are always synchronized.
  • Operational Monitoring — Track fraud rules, monitor account statistics, and retrieve transaction metadata using simple AI commands.

The SEON MCP Server exposes 12 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.

All 12 SEON tools available for LlamaIndex

When LlamaIndex connects to SEON through Vinkius, your AI agent gets direct access to every tool listed below — spanning fraud-prevention, risk-scoring, aml-compliance, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_label

Add a feedback label

add_to_list

) to a specific blacklist or whitelist. Add an item to a list

aml_screening

Perform AML screening

check_email

Get email digital footprint

check_fraud

Perform a comprehensive fraud check

check_ip

Get IP risk data

check_phone

Get phone intelligence

get_account_info

Get account details

get_transaction

Get transaction details

list_aml_monitors

List AML monitors

list_lists

List custom blacklists/whitelists

list_rules

List fraud rules

Connect SEON to LlamaIndex via MCP

Follow these steps to wire SEON into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from SEON

Why Use LlamaIndex with the SEON MCP Server

LlamaIndex provides unique advantages when paired with SEON through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine SEON tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain SEON tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query SEON, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what SEON tools were called, what data was returned, and how it influenced the final answer

SEON + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the SEON MCP Server delivers measurable value.

01

Hybrid search: combine SEON real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query SEON to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying SEON for fresh data

04

Analytical workflows: chain SEON queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for SEON in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with SEON immediately.

01

"Check this email for fraud risk: suspicious.user@example.com."

02

"Run a fraud risk assessment on a new user registration with email and IP analysis."

03

"Show me all flagged transactions from the last 24 hours with their risk scores and reasons."

Troubleshooting SEON MCP Server with LlamaIndex

Common issues when connecting SEON to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

SEON + LlamaIndex FAQ

Common questions about integrating SEON MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query SEON tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.