How I Used Notion MCP to Screen 5,000+ Stocks and Write AI Research Reports

This is a submission for the Notion MCP Challenge What I Built StockPulse is an AI-powered Indian Stock Intelligence platform built entirely on Notion. It solves the problem of scattered financial data by acting as a centralized, human-in-the-loop research hub. First, a Python data pipeline fetches daily price and delivery data from the NSE and BSE (Indian stock exchanges). It then runs 5,000+ stocks through a rigorous, battle-tested 12-condition fundamental screener. The magic happens when the data enters Notion. By using the Model Context Protocol (MCP), StockPulse allows AI assistants (like Claude) to seamlessly read the screened data, identify anomalies, analyze fundamentals, and write comprehensive research reports directly back into Notion databases. Video Demo Show us the code Safvan-tsy / stockpulse Using Notion MCP to Screen 5,000+ Stocks and Write AI Research Reports StockPulse India 📈 AI-Powered Indian Stock Intelligence on Notion — Built for the Notion MCP Challenge. Stock