MyFinancial Market Data MCP
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- AlicenseNot gradedqualityDmaintenanceConnects AI assistants to real-time Indian stock market data with 34 tools for search, screening, analysis, portfolio tracking, and market insights across all NSE and BSE stocks.93 npm80MIT
- 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.51 npm12MIT
- 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.824-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to perform deep Indian stock research with fundamentals, forensic scores, DCF valuation, screening, and news for 6000+ NSE/BSE stocks.15 npm1MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to research Indian stock markets by accessing NSE/BSE corporate filings with measured price reactions, fundamentals, a 108-metric screener, IPO pipeline, FPI flows, results calendar, and daily market briefings through MCP tools.1MIT
- FlicenseAqualityDmaintenanceEnables real-time and historical Indian stock market data retrieval, including prices, news, recommendations, and top gainers/losers.11-
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.