Indian Stock Analysis MCP Server
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- FlicenseCqualityDmaintenanceEnables access to comprehensive Indian stock market data from the NSE and BSE, including historical statistics, corporate actions, and IPO information. It also provides tools for mutual fund searches, analyst recommendations, and tracking market-active or trending stocks.16-
- FlicenseAqualityDmaintenanceEnables real-time and historical Indian stock market data retrieval, including prices, news, recommendations, and top gainers/losers.11-
- FlicenseNot gradedqualityCmaintenanceEnables NSE stock market research with screening, quotes, peer comparison, watchlists, alerts, and strategies using natural language.-
- FlicenseNot gradedqualityDmaintenanceProvides real-time Indian stock market analysis, including live price tracking, technical indicators, and options Greeks calculations for NSE/BSE securities. It also enables news-based sentiment analysis, market scanning for NIFTY 50 stocks, and virtual portfolio management.-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to perform deep Indian stock research with fundamentals, forensic scores, DCF valuation, screening, and news for 6000+ NSE/BSE stocks.8 npm1MIT
- FlicenseNot gradedqualityDmaintenanceProvides real-time stock prices, sector analysis, historical data, and top performers for Indian NSE and global markets. Also includes stock-specific and market news from multiple sources with intelligent caching.-
TDQS
Scored across 13 tools
Tools are largely distinct, but forecast_arima_model and forecast_prophet_model overlap in purpose and output style, potentially confusing agents. Other tools like stock_quote vs market_overview and technical_analysis vs arima_model_diagnostics have clear boundaries.
Naming conventions are mixed: some tools use stock_* prefixes, some use model-related prefixes like train_arima_model, and others are bare nouns like market_overview. While all are readable snake_case, the lack of a consistent prefix/verb pattern reduces predictability.
With 13 tools, the count is within the ideal range and each tool serves a distinct analytical function, from market overview and fundamentals to ARIMA/Prophet forecasting and diagnostics. No tool feels redundant.
The toolkit covers a broad range of Indian stock analysis needs, but there is no direct tool for retrieving raw historical price data, which is a common prerequisite for custom analysis or model building. Otherwise, the surface is fairly comprehensive.