Can I block a fraudulent user through the agent?

Yes! Use the `apply_user_decision` tool with the user's ID and the appropriate decision ID (like `block_user`). The action will be applied in Sift immediately.

How do I check the risk score for a specific customer?

Use the `get_user_fraud_score` tool with the customer's unique ID. Your agent will fetch the latest risk score generated by Sift's machine learning models.

Where do I find my Sift API Key and Account ID?

Log in to your Sift Dashboard and navigate to **Settings -> API Keys**. You will find your REST API Key and Account ID there.

Sift (Chargeback) MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Sift (Chargeback)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Sift (Chargeback) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Sift (Chargeback) Assistant",
            instructions=(
                "You help users interact with Sift (Chargeback). "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Sift (Chargeback)"
        )
        print(result.final_output)

asyncio.run(main())

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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 Sift (Chargeback) MCP Server

Connect your Sift account to any AI agent and take full control of your fraud protection and chargeback management through natural conversation. Streamline risk analysis and dispute resolution.

The OpenAI Agents SDK auto-discovers all 8 tools from Sift (Chargeback) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Sift (Chargeback), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Chargeback Reporting — Notify Sift of new chargeback events, including states and reasons natively
Fraud Intelligence — Retrieve real-time fraud scores for users to evaluate transaction risk flawlessly
Decision Automation — Apply manual or automated decisions (e.g., block user, accept order) securely
Dispute Oversight — List and audit the history of decisions and labels applied to any user flawlessly
Workflow Visibility — Access and monitor your configured fraud prevention workflows in real-time
Behavioral Tracking — Log custom events like logins or transactions to refine Sift's machine learning directly within your workspace

The Sift (Chargeback) MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Sift (Chargeback) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Sift (Chargeback) MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Sift (Chargeback)

Why Use OpenAI Agents SDK with the Sift (Chargeback) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Sift (Chargeback) through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Sift (Chargeback) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Sift (Chargeback) MCP Server delivers measurable value.

Automated workflows: build agents that query Sift (Chargeback), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Sift (Chargeback), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Sift (Chargeback) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Sift (Chargeback) to resolve tickets, look up records, and update statuses without human intervention

Sift (Chargeback) MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Sift (Chargeback) to OpenAI Agents SDK via MCP:

apply_user_decision

Apply a manual decision to a user (e.g. block_user)

get_user_fraud_labels

Retrieve labels (e.g. $bad, $good) applied to a user

get_user_fraud_score

Get the current fraud score for a user

list_sift_decisions

List available decisions (actions) in Sift

list_sift_workflows

List configured fraud prevention workflows

list_user_decision_history

List the history of decisions applied to a user

report_sift_chargeback

Report a chargeback event to Sift

track_sift_event

Track a general event (e.g. $login, $transaction) in Sift

Example Prompts for Sift (Chargeback) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Sift (Chargeback) immediately.

"What is the fraud score for user 'user_abc_123'?"

"Report a chargeback for order #999 from user 'user_789' as '$fraud'."

"Show me the last 5 decisions applied to user 'user_456'."

Troubleshooting Sift (Chargeback) MCP Server with OpenAI Agents SDK

Common issues when connecting Sift (Chargeback) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Sift (Chargeback) + OpenAI Agents SDK FAQ

Common questions about integrating Sift (Chargeback) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.