MyFinancial Market Data MCP
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- AlicenseNot gradedqualityBmaintenanceIndian stock market (NSE & BSE) MCP server with 55 tools: live quotes, financials, technicals, a 326-ratio screener, FII/DII flows, option chains with IV, parsed annual reports and concall transcripts, IPOs and portfolio tracking for ~8,200 stocks.424 npm138MIT
- AlicenseNot gradedqualityDmaintenanceProvides real-time and historical Indian stock market data from NSE and BSE exchanges with 66 tools covering quotes, options chains, corporate actions, IPOs, and market analytics for LLM-powered financial analysis.33 npm13MIT
- FlicenseCqualityBmaintenanceEnables AI assistants to access National Stock Exchange of India (NSE) data, including live quotes, market status, indices, option chains, corporate actions, and historical data, through natural language.2241-
- AlicenseAqualityCmaintenanceGives AI assistants live Indian market data without any API keys, spanning NSE quotes and indices, option chains with Greeks, max pain and OI analytics, company financials, shareholding and corporate actions, plus mutual fund NAVs and trailing returns. It also ships research, market-brief and options-positioning prompts so users can compare stocks, trace sector leadership or size up an expiry through natural language.13MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to perform deep Indian stock research with fundamentals, forensic scores, DCF valuation, screening, and news for 6000+ NSE/BSE stocks.7 npm1MIT

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
TDQS
Scored across 55 tools
The tool set has several aliases (e.g., get_live_quote vs get_stock_quote, scan_movers vs get_trending_stocks) that create redundant entry points, and overlapping data (e.g., get_stock_events with corporate_actions vs get_stock_ownership, get_market_pulse vs get_fii_dii_detail). However, descriptions explicitly cross-reference these, which mitigates confusion, but the ambiguity is still present.
Most tools follow a get_ prefix pattern, but there are deviations like screen_stocks, add_to_watchlist, remove_portfolio_stocks, market_heatmap, and read_me. Alias names also break the pattern (e.g., scan_movers, get_live_quote). The naming is mostly readable but not consistently verb_noun throughout.
With 55 tools, the count is far above the typical range for a single MCP server, even for a comprehensive financial domain. Many are aliases or near-duplicates, which further inflates the count and could overwhelm an agent during tool selection.
The surface is exceptionally complete for Indian stock market data: quotes, histories, fundamentals, screening, options, indices, news, portfolio management, watchlist, forecasts, and even point-in-time identity resolution. There are no major gaps for its stated purpose.