About this project
CredEdge is an MCP server built for the BFSI & FinTech track that gives an AI agent real, live access to the core functions a bank employee performs every day — not a chatbot that talks about finance, but one that actually acts on real account data. It exposes six tools: real-time fraud risk scoring (analyzes a transaction against the account's actual spend history — amount, location, velocity, merchant pattern — and returns a fraud probability with a concrete next-action plan), CIBIL score lookup, personal loan eligibility (explains exactly why a loan is approved or rejected and lists the documents needed — aligned with RBI's Digital Lending Guidelines on rejection transparency), SME business loan assessment (turnover, GST compliance, years in operation), insurance claim investigation (flags early claims, high-value claims, and repeat-claimant patterns), and personalized financial advice (turns income/debt data into a concrete monthly savings and investment plan). It also pulls live market data via Alpha Vantage as a real external data signal. Every tool result renders as a polished visual widget inside the AI chat itself — risk gauges, eligibility cards, CIBIL score dials — with one-click PDF/Word export for compliance record-keeping. Who it's for: banks, NBFCs, and fintechs that want to give an AI assistant safe, auditable access to lending and fraud decisions without exposing raw databases — the AI only ever sees what a tool explicitly returns. What makes it special: because it's built on MCP rather than a one-off API, the exact same server works unmodified inside Claude, ChatGPT, or any future MCP-compatible banking assistant — one build, many front doors. Every decision is explainable, since a resource exposes the underlying rulebook, so an examiner can ask why a decision was made and get the exact rule that fired — not a black box.
BFSI & FinTech track
Build AI solutions for banking, payments, insurance, fraud detection, lending, and financial inclusion.