Screener India MCP
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- AlicenseAqualityBmaintenanceEnables AI agents to research Indian equities (NSE/BSE) with 14 read-only tools covering live quotes, OHLCV history, 57 technical indicators, fundamental ratios, financial statements, stock screening and portfolio analytics. Everything runs on free public data sources with no API keys, accounts, or paid subscriptions required.14MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to perform deep Indian stock research with fundamentals, forensic scores, DCF valuation, screening, and news for 6000+ NSE/BSE stocks.17 npm1MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to search, screen, and analyze 8,200+ NSE and BSE listed securities through 55 tools covering live quotes, financials, technical indicators, FII/DII flows, option chains, filings, IPOs, bulk deals, and portfolio P&L.-

DocStoXofficial
AlicenseNot gradedqualityBmaintenanceConnects AI assistants over the Model Context Protocol to live NSE and BSE data, enabling research on Indian listed companies — quotes and price history, quarterly and annual fundamentals, valuation and peer comparison, shareholding, FII/DII flows, F&O and index options, screening, IPOs, corporate actions, filings and market news. Read-only, with no local setup required.MIT- FlicenseNot gradedqualityAmaintenanceGives AI assistants live, structured data on all 8,200+ NSE and BSE listed companies through 55 tools — quotes, quarterly financials, a 326-ratio screener, technical indicators, FII/DII flows, option chains and IV, filings, IPOs, bulk deals and portfolio P&L. It runs remotely over OAuth or locally via npx/uvx, so users can research and screen Indian stocks in plain English inside Claude, ChatGPT, Cursor, VS Code, Codex or Gemini CLI.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to search, screen and analyze all 8,200+ NSE and BSE listed stocks, covering live quotes, financials, technical indicators, FII/DII flows, option chains, filings, IPOs and portfolio tracking through 55 tools.-
TDQS
Scored across 14 tools
Most tools are conceptually distinct, but company_snapshot duplicates data from company_overview, earnings_trend, red_flags, shareholding, and documents, so agents must infer when to use summary vs detail. Descriptions label snapshot as the best first call, which helps, but boundaries remain fuzzy.
All names use snake_case, but the pattern mixes verb_noun (search_company, compare_companies, run_screen) with noun phrases (company_snapshot, financial_statement, shareholding, peers). Readable but not a predictable single convention.
14 tools is reasonable for a comprehensive financial research server and sits in the recommended range, though the aggregate snapshot plus several overlapping detail tools makes the set slightly redundant.
The toolset covers the full research workflow: symbol lookup, snapshot/overview, statements, trends, red flags, shareholding, documents, peers, price history, comparisons, and both custom and themed screening. No obvious lifecycle gaps for the stated Screener.in domain.