Screener.in MCP: Real Fundamental Data for Indian Stocks

A real, dedicated Screener MCP server exists, delivering comprehensive fundamental data for Indian listed companies sourced from Screener.in — one of the most-used fundamental analysis tools among Indian retail investors. It's a community project, not an official Screener.in release, but genuinely comprehensive in scope.

What Data It Covers

Real capabilities include profit & loss statements, balance sheets, cash flow, financial ratios, peer comparisons, and shareholding patterns — supporting both consolidated and standalone financials, which is exactly the kind of structured fundamental data an AI research assistant needs to reason about a company beyond just its current stock price.

How It Works Under the Hood

Some implementations use BeautifulSoup-based scraping directly against Screener.in's public pages rather than a formal API (Screener.in doesn't publish one), which means the same terms-of-service and reliability caveats apply as with any scraper-based data source — reasonable for research and analysis use, worth extra care before building a production business process around it.

A Reasonable Combination for Indian Equity Research

Pairing this with NSE/BSE price data gives an AI agent both the "what's happening to the price" and "what does the underlying business actually look like" sides of Indian equity research — a genuinely useful combination for anyone building AI-assisted investment research tooling.