The Challenge
Business Problem
Processing DSARs manually takes 20-40 hours per request. Companies must search across dozens of systems to find all personal data for a given individual, within a 30-day deadline.
The Approach
Solution Overview
Connect PostgreSQL, Elasticsearch, and Salesforce MCP Servers to automatically locate, compile, and export all personal data for a data subject upon request.
Step-by-Step
Implementation Steps
1
Receive Request
Capture DSAR requests via form or email and validate the requestor's identity.
2
Search All Systems
Query all data stores for records matching the data subject's identity.
3
Compile Report
Generate a comprehensive report of all personal data found across systems.
async function processDSAR(subject) {
const results = await Promise.all([
postgres.query('SELECT * FROM users WHERE email=$1', [subject.email]),
postgres.query('SELECT * FROM orders WHERE customer_email=$1', [subject.email]),
elasticsearch.search({ index: 'logs-*', query: { match: { 'user.email': subject.email } } }),
salesforce.query(`SELECT Id, Name, Email FROM Contact WHERE Email='${subject.email}'`)
]);
return compileReport(subject, results);
}4
Handle Deletion Requests
For right-to-erasure requests, execute deletion across all systems with audit trail.
Code
Code Examples
typescript
Data Locator
async function findAllData(email) {
const systems = getRegisteredDataSystems();
const results = {};
for (const system of systems) {
results[system.name] = await system.search({ identifier: email });
}
return results;
}Overview
ComplexityHard
Estimated Time~20 hours
Tools Used
PostgreSQL MCP ServerElasticsearch MCP ServerSalesforce MCP ServerSlack MCP Server
Industry
All IndustriesTechnologyFinance
ROI Metrics
Time Saved30 hours per DSAR
Cost Reduction95% reduction in DSAR processing cost
Efficiency Gain100% deadline compliance