Real-Time Data Sync Between Systems

Hard~18h estimatedSaaSE-commerceFinance
Salesforce MCP ServerStripe MCP ServerPostgreSQL MCP Server
The Challenge

Business Problem

Business data lives in multiple systems (CRM, billing, support) that fall out of sync. Sales sees stale customer data, support doesn't know about recent purchases, and billing has wrong addresses.

The Approach

Solution Overview

Connect Salesforce, Stripe, and PostgreSQL MCP Servers to create a real-time sync fabric that propagates changes across systems within seconds.

Step-by-Step

Implementation Steps

1

Identify Sync Entities

Map the data entities that need to stay in sync: customers, orders, subscriptions.

2

Build Change Listeners

Set up webhooks and polling on each system to detect changes.

3

Implement Sync Logic

Create bidirectional sync with conflict resolution and idempotent updates.

async function syncCustomerUpdate(event) {
  const customer = event.data;
  await Promise.all([
    salesforce.updateContact({ id: customer.sfId, email: customer.email, name: customer.name }),
    stripe.updateCustomer({ id: customer.stripeId, email: customer.email }),
    postgres.query('UPDATE customers SET email=$1, name=$2 WHERE id=$3', [customer.email, customer.name, customer.id])
  ]);
}
4

Handle Conflicts

Implement last-write-wins or merge strategies for conflicting updates.

Code

Code Examples

typescript
Conflict Resolution
function resolveConflict(local, remote) {
  if (remote.updatedAt > local.updatedAt) return remote;
  if (local.updatedAt > remote.updatedAt) return local;
  return { ...local, ...remote, updatedAt: new Date() }; // merge
}

Overview

ComplexityHard
Estimated Time~18 hours
Tools Used
Salesforce MCP ServerStripe MCP ServerPostgreSQL MCP Server
Industry
SaaSE-commerceFinance

ROI Metrics

Time Saved20 hours/week on manual reconciliation
Cost Reduction99% data consistency
Efficiency GainSub-second sync latency

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Real-Time Data Sync Between Systems - Use Cases - CortexAgent