Sift (Chargeback) MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Sift (Chargeback) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="sift_chargeback_agent",
tools=tools,
system_message=(
"You help users with Sift (Chargeback). "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Sift (Chargeback) tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Sift (Chargeback) MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Sift (Chargeback) automatically
Why Use AutoGen with the Sift (Chargeback) MCP Server
AutoGen provides unique advantages when paired with Sift (Chargeback) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Sift (Chargeback) tools to solve complex tasks
Role-based architecture lets you assign Sift (Chargeback) tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Sift (Chargeback) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Sift (Chargeback) tool responses in an isolated environment
Sift (Chargeback) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Sift (Chargeback) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Sift (Chargeback) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Sift (Chargeback), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Sift (Chargeback) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Sift (Chargeback) responses in a sandboxed execution environment
Sift (Chargeback) MCP Tools for AutoGen (8)
These 8 tools become available when you connect Sift (Chargeback) to AutoGen 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, $transaction) in Sift
Example Prompts for Sift (Chargeback) in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Sift (Chargeback) immediately.
"What is the fraud score for user 'user_abc_123'?"
"Report a chargeback for order #999 from user 'user_789' as '$fraud'."
"Show me the last 5 decisions applied to user 'user_456'."
Troubleshooting Sift (Chargeback) MCP Server with AutoGen
Common issues when connecting Sift (Chargeback) to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Sift (Chargeback) + AutoGen FAQ
Common questions about integrating Sift (Chargeback) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Sift (Chargeback) 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 Sift (Chargeback) to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
