Vinkius

Sift (Chargeback) MCP. Automate fraud scoring and dispute resolution.

Sift (Chargeback) manages your entire fraud defense lifecycle from a single conversation. Connect this MCP to instantly check user risk scores, report suspicious chargebacks, and apply manual decisions—all without opening the Sift dashboard. It lets you run real-time dispute resolution and audit user history directly through any AI agent.

Sift (Chargeback) MCP is compatible with Claude Claude
Sift (Chargeback) MCP is compatible with ChatGPT ChatGPT
Sift (Chargeback) MCP is compatible with Cursor Cursor
Sift (Chargeback) MCP is compatible with Gemini Gemini
Sift (Chargeback) MCP is compatible with Windsurf Windsurf
Sift (Chargeback) MCP is compatible with VS Code VS Code
Sift (Chargeback) MCP is compatible with JetBrains JetBrains
Sift (Chargeback) MCP is compatible with Vercel Vercel
See Vinkius in Action

Give Claude and any AI agent real-world access

Check current risk score

The system fetches the latest fraud score assigned to any user.

Identify user labels

It retrieves the specific flags or labels Sift has applied to a user's account history (e.g., $bad).

Apply manual actions

You can instruct your agent to manually accept, block, or change the status of a user's account.

Report disputes

The MCP sends formal chargeback reports to Sift, updating the risk profile for the involved party.

Track behavior and events

It logs custom activity like a user logging in or completing a transaction to refine Sift's machine learning model.

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AI Agent
Sift (Chargeback)

What AI agents can do with Sift (Chargeback) MCP: 8 Available Tools

Use these tools to manage every aspect of fraud prevention, from checking user scores to reporting complex chargeback events.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Sift (Chargeback) MCP

Apply User Decision

Manually applies a decision, such as blocking or approving, to a specific user account.

List User Decision History

Retrieves a chronological list of all decisions and actions ever applied to a given...

Get User Fraud Labels

Fetches the specific fraud labels (like $bad or $good) Sift has assigned to a user's...

Get User Fraud Score

Checks and returns the real-time numerical fraud risk score for any specified user.

List Sift Decisions

Shows all the available decision types or actions that Sift recognizes.

List Sift Workflows

Lists and provides visibility into your currently configured fraud prevention workflows within Sift.

Report Sift Chargeback

Submits a formal chargeback event report to Sift, triggering an update of the user's risk profile.

Track Sift Event

Logs general events (like logins or transactions) into Sift so they can train their...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Sift (Chargeback) MCP is compatible with Claude

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Sift (Chargeback) integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Sift (Chargeback), then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,200+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Connections are secured and governed automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog weekly
Sift (Chargeback) MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Sift. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Handling fraud disputes shouldn't feel like logging into three different dashboards at 2 AM.

Right now, when a customer claims fraud or an order is flagged, the process is manual misery. You open Sift to check the user score; you switch to your ticketing system to read the dispute details; then you open a spreadsheet to find the history of decisions—and finally, you copy all that information into an email for review. It's tedious, slow, and prone to human error.

With this MCP connection, you simply ask your agent to check the risk score or list the decision history for the account in one chat thread. The agent runs the required tools on the backend and hands you a single, unified answer right where you are working. It turns a 10-minute multi-system chore into a two-second conversation.

Sift (Chargeback) MCP: Automated Fraud Decisioning

The key manual steps that disappear are the repetitive data pulls. You never have to copy scores from one screen and paste them into another, nor do you need to manually run through different tabs just to find a decision's timeline.

What’s different now is speed, visibility, and accuracy. You get real-time security intelligence directly embedded in your workflow, letting you act on fraud events the moment they happen—not when your morning report runs.

What Sift (Chargeback) MCP does for your AI

This connector gives your AI client full control over fraud prevention and chargeback management. Instead of jumping between dashboards to check risk or submit a dispute, you talk to your agent and it handles the heavy lifting. You can ask for a real-time fraud score on any user, instantly seeing if they're high risk or low risk.

Need to audit why an order was blocked? Ask the system to list all past decisions applied to that account. If something suspicious happens, you just report the chargeback event, and Sift updates the user profile immediately. Because Vinkius hosts this MCP, you connect your agent once, giving it access to powerful security tools like these for fraud intelligence, decision automation, and deep behavioral tracking.

Built · Hosted · Managed by Vinkius Sift (Chargeback) MCP - Fraud Scoring & Dispute Management
Server ID 019d756c-885a-72e3-abc5-4d7ca68160e8
Vinkius Inspector
Compliance Grade F
Score 3.6/100
Vinkius Inspector Badge — Score 3.6/100

Frequently asked questions about Sift (Chargeback) MCP

How do I check a user's risk score using the Sift (Chargeback) MCP? +

You ask your agent to run get_user_fraud_score and provide the username. The system returns the current numerical fraud score, along with any associated labels like $bad or $good.

Can I use Sift (Chargeback) MCP to block a user? +

Yes. You can execute an action by calling apply_user_decision and specifying the required decision, such as 'block_user,' which immediately updates their account status.

What if I need to update Sift after a dispute? +

You run report_sift_chargeback. This tool sends the official chargeback event details to Sift, ensuring that the user's risk profile is updated and reviewed by their models.

Does Sift (Chargeback) MCP track basic activity? +

It does. You can use track_sift_event to log specific events, like a transaction or login, directly into Sift for behavioral analysis and ML training.

How do I see what actions are available? (Sift (Chargeback) MCP) +

Run the list_sift_decisions tool. This shows you every recognized action or decision type that can be applied to a user within Sift.

Is it possible to check past decisions on a user? +

Absolutely. Use the list_user_decision_history tool, and the system will retrieve all historical records of actions taken against that specific user account.