Sift (Chargeback)

Sift (Chargeback) MCP Connector for Claude

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Manage fraud prevention and chargebacks via Sift — track user scores, report disputes, and apply decisions directly from any AI agent.

8 tools Official Updated Jun 28, 2026 Official Vinkius Partner

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.

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

How it works

  1. Subscribe to this server
  2. Enter your Sift REST API Key and Account ID
  3. Start managing your fraud protection from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Risk Analysts — monitor user fraud scores and review chargeback patterns using natural language
  • Trust & Safety Teams — apply manual decisions and audit user history without opening the dashboard
  • E-commerce Managers — quickly verify transaction risk and report disputes straight from their chat interface
  • Developers — verify event integration and scoring data during technical implementation
fraud-preventionchargeback-managementrisk-analysisdispute-resolutionfraud-detectionsecurity-monitoring

8 tools expose this connector's capabilities to your AI agent.

apply_user_decision

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

list_user_decision_history

List the history of decisions applied to a 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

report_sift_chargeback

Report a chargeback event to Sift

track_sift_event

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

See how to talk to your AI agent using Sift (Chargeback).

What is the fraud score for user 'user_abc_123'?

Checking risk for 'user_abc_123'... The user has a fraud score of 85.2% (High Risk). Sift has labeled this user as '$bad' based on recent transaction patterns.

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

Reporting chargeback for order #999... The event has been successfully sent to Sift with the reason '$fraud'. This will update the user's risk profile immediately.

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

Retrieving decision history for 'user_456'... I found 2 recent decisions: 'watch_user' (Applied on 2024-03-15) and 'approve_order' (Applied on 2024-02-10).

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.

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