Sift (Chargeback) Connector for AI agents.
8 live capabilities
Manage fraud prevention and chargeback disputes from your chat interface.
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Why people use Sift (Chargeback)
Sift (Chargeback) Fraud Prevention for E-commerce Security
With this Connector, you just ask your agent for the risk status and tell it to block the user. The agent does the heavy lifting, and you get a confirmed action in seconds. You spend less time clicking and more time actually managing your business safety.
What Vinkius changes
You get a conversational way to manage fraud and chargebacks without leaving your chat app.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
High-risk transaction alert
A manager sees a $5,000 order and asks the agent to check the fraud score.
- Real-world use case 02
Handling a refund dispute
A support rep needs to report a chargeback for a specific order.
- Real-world use case 03
Banning a repeat offender
A trust specialist finds a user who keeps trying to bypass rules.
Complete set · 8capabilities
The complete Sift (Chargeback) capability set.
These are the exact actions your AI can choose when you ask it to work with Sift (Chargeback).
01—04
4 capabilities in this set.
Part of 8 available through Sift (Chargeback).
- 01 Capability
Apply user decision
Apply a manual decision like blocking a user to your account. This lets you act on risk immediately.
- 02 Capability
List user decision history
See a full list of past decisions for a specific user. It is great for auditing account history.
- 03 Capability
Get user fraud labels
See the specific labels like good or bad assigned to a user. This helps you understand their risk status.
- 04 Capability
Get user fraud score
Get the current fraud score for any user. You can use this to decide if a transaction is safe.
05—08
4 capabilities in this set.
Part of 8 available through Sift (Chargeback).
- 05 Capability
List sift decisions
See all the different actions you can take in Sift. This helps you know what options are available.
- 06 Capability
List sift workflows
See your configured fraud prevention workflows. This gives you a clear view of your security rules.
- 07 Capability
Report sift chargeback
Report a new chargeback event to Sift. It updates the user's risk profile automatically.
- 08 Capability
Track sift event
Log custom events like logins or transactions. This helps refine the machine learning model.
Set up in minutes
One URL. Then ask Sift (Chargeback) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Sift (Chargeback) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_X6jrj9G3NJ6qSu4scGacFQiORtOckhn98ppSzoMs/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Sift (Chargeback), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Sift (Chargeback) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_X6jrj9G3NJ6qSu4scGacFQiORtOckhn98ppSzoMs/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Sift (Chargeback) URL.
- Step 03
Save and start
Save the connection and enable Sift (Chargeback) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"sift-chargeback": {
"url": "https://edge.vinkius.com/vk_preview_X6jrj9G3NJ6qSu4scGacFQiORtOckhn98ppSzoMs/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Sift (Chargeback)
Open Agent mode in chat and ask: "Using Sift (Chargeback), help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"sift-chargeback": {
"url": "https://edge.vinkius.com/vk_preview_X6jrj9G3NJ6qSu4scGacFQiORtOckhn98ppSzoMs/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Sift (Chargeback)
Ask Copilot: "Using Sift (Chargeback), help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"sift-chargeback": {
"url": "https://edge.vinkius.com/vk_preview_X6jrj9G3NJ6qSu4scGacFQiORtOckhn98ppSzoMs/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Sift (Chargeback)
Open Cascade and ask: "Using Sift (Chargeback), help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"sift-chargeback": {
"url": "https://edge.vinkius.com/vk_preview_X6jrj9G3NJ6qSu4scGacFQiORtOckhn98ppSzoMs/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Sift (Chargeback)
Ask Cline: "Using Sift (Chargeback), help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add sift-chargeback --transport http "https://edge.vinkius.com/vk_preview_X6jrj9G3NJ6qSu4scGacFQiORtOckhn98ppSzoMs/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Sift (Chargeback)
Ask Claude: "Using Sift (Chargeback), show me...". 8 tools are ready
Where the request belongs
Work Sift can move forward.
This is for the people who have to say no to shady transactions all day. If you're tired of clicking through endless rows of data to find a single fraudster, this is for you.
Risk Analyst
Checks fraud scores and identifies patterns in chargebacks using natural language.
Trust & Safety Specialist
Audits user histories and applies manual blocks to bad actors without opening a dashboard.
E-commerce Manager
Verifies high-value transaction risks quickly during peak shopping hours.
Security Developer
Tests event tracking and scoring logic during the technical implementation phase.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsChargeblast
Manage chargeback prevention and dispute alerts via Chargeblast. intercept disputes, automate refunds, and audit deflection logs directly from any AI agent.
SEON
Prevent online fraud with device fingerprinting, email and phone analysis, and real-time risk scoring for digital transactions.
ClearSale
Manage e-commerce fraud prevention via ClearSale. submit orders for analysis, monitor fraud scores, and track status updates directly from any AI agent.
Denim
Equip your AI agent to manage marketing campaigns, track contacts, and monitor analytics via the Denim API.
Anura
Ad fraud detection MCP server. Validate visitors in real-time and manage fraud reports via Anura.io.
Vanta
Manage your automated compliance and security posture. Audit users, devices, vendors, and vulnerabilities directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Sift connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Sift.
The practical details behind the request, access and result.
How does the Sift (Chargeback) MCP help with e-commerce fraud?
It gives you a way to check user risk scores and report disputes directly through your AI agent. You can stop bad actors faster by taking action in your chat window instead of navigating a complex dashboard.
Can I block users using the Sift (Chargeback) MCP?
Yes, you can use the Connector to apply manual decisions like blocking a user or accepting an order. Your AI agent handles the request and updates Sift automatically so you can act on risk instantly.
How do I report a new chargeback with Sift (Chargeback)?
Just tell your AI agent to report a chargeback for a specific order. It will send the event to Sift and update the user's risk profile for you, keeping your data current.
Can the Sift (Chargeback) MCP show me a user's history?
It can list the entire history of decisions and labels applied to a specific user. This is great for auditing and seeing how a user's risk profile has changed over time.
Does the Sift (Chargeback) MCP help with risk analysis?
Yes, it lets you pull real-time fraud scores and view your active fraud prevention workflows. You can use this to quickly verify if a transaction is safe or needs a closer look.
Can I block a fraudulent user through the agent?
Yes! Use the apply_user_decision capability 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 capability 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.
One connection away
Give your agent a direct line to Sift.
Connect Sift once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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