About this project
Subscription waste hides in plain sight. Free trials silently convert to paid plans, prices creep up at renewal without anyone noticing, and forgotten subscriptions keep charging long after anyone actually uses them. Nobody manually audits their inbox to catch this — the information is scattered across dozens of emails, and checking is tedious enough that most people simply don't. Subscription Sniper is an MCP server that solves this. A user asks one natural question — "check my subscriptions and tell me where I'm losing money" — and the agent conducts a full financial audit on its own. It connects to a real Gmail inbox via OAuth, fetches billing emails, extracts structured subscription data, and detects price increases by comparing amounts across billing cycles. It infers real usage by checking for genuine engagement signals from each sender, rather than guessing, and calculates total spend alongside potential savings. When something's flagged as waste, it generates a safe, manual, step-by-step guide to cancel UPI autopay mandates on PhonePe, Google Pay, or Paytm — the agent never auto-cancels or touches payment methods directly, keeping the user fully in control. Built on NitroStack's MCP framework, the project uses six Tools (fetch, extract, engagement-check, calculate, cancellation playbook, and connection status), five Resources holding live structured subscription data, and two Prompts that frame the agent's reasoning — one as a financial advisor hunting waste, the other formatting alerts clearly for the user. Live Gmail integration is fully functional and connected, demonstrated using a dedicated test account seeded with synthetic subscription emails formatted to match real-world billing patterns, including deliberate price-change and engagement-contrast scenarios. This solves a problem nearly everyone has felt but nobody actively tracks — translating directly into real monthly savings, not just an insight report.
BFSI & FinTech track
Build AI solutions for banking, payments, insurance, fraud detection, lending, and financial inclusion.