MCP server exposing Screener.in data for Indian stocks (NSE/BSE) — fundamentals, financial statements, peer comparison, and price/EPS trends — as tools for Claude and other MCP clients.
An MCP server exposing Screener.in data for Indian stocks (NSE/BSE) — fundamentals, financial statements, peers, and price/EPS time-series — as tools any MCP client (Claude, etc.) can call.
Screener.in is server-rendered (Django), so most data comes from a single HTML GET; the chart tool uses Screener's JSON chart API.
Tool Args Returns --------- getfundamentals symbol Key ratio cards (P/E, P/B, ROE, ROCE, Market Cap, Book Value, Dividend Yield, etc.), pros/cons, about getfinancials symbol Statement tables: Quarterly Results, P&L, Balance Sheet, Cash Flow, Ratios, Shareholding getpeers symbol Sector peer comparison table (CMP, P/E, Market Cap, Div Yield, NP, ROCE, sales growth) + sector median getchart symbol, metric?, days? Time-series from the chart API. metric e.g. Price-DMA50-Volume, Price, Quarter Sales, EPS
symbol is the NSE/BSE trading symbol, e.g. TCS, RELIANCE, MTARTECH.
Add to your MCP config (.mcp.json or global), pointing at the built entry:
Then an agent can call getfundamentals, getfinancials, getpeers, getchart.
Screener lazy-loads the peer table from GET /api/company/{warehouseId}/peers/ — note this uses a separate warehouse id (from data-warehouse-id on the page), not the company id, and requires the X-Requested-With: XMLHttpRequest header. getpeers resolves the warehouse id from the company page, fetches that fragment, and parses the comparison table plus the sector-median row.
From the project README.
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⚡ The open-source persistent cognitive memory layer for AI coding agents. Stop your Cursor, Claude & Copilot from having amnesia.
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