NSE-MCP
Related Servers
Alternatives to NSE-MCP
No user-submitted related servers found.
Related Servers
- 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
- AlicenseAqualityCmaintenanceEnables AI assistants to query live NSE & BSE stock market data, with 55 tools covering quotes, financials, screeners, FII/DII flows, option chains, and company filings.55MIT
- AlicenseNot gradedqualityCmaintenanceProvides access to NSE India equity research data, including securities, Nifty 50 constituents and prices, historical data, financial results, shareholding patterns, corporate actions, announcements, earnings-call transcripts, bulk/block deals, short-selling disclosures, and XBRL documents.1PolyForm Noncommercial 1.0.0
- 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.-
- AlicenseAqualityBmaintenanceIndian 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.55430 npm140MIT
- 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 17 tools
Tools are mostly distinct, covering different data types (quotes, indices, deals, insider trading, etc.). However, the multiple bulk-deal tools (get_bulk_deals, get_latest_bulk_deals, get_top_bulk_buys, get_top_bulk_sells) could cause confusion as they overlap in purpose but differ in sorting/filtering.
All tool names follow a consistent verb_noun pattern using snake_case (e.g., get_quote, search_by_symbol, get_top_gainers). There is no mixing of conventions or ambiguous naming.
With 17 tools, the count is slightly above the typical well-scoped range, but each tool serves a clear purpose covering a breadth of NSE data. A few could be consolidated (e.g., the bulk-deal variants), but overall it's reasonable for the domain.
The tool set covers many essential NSE data points: quotes, indices, market status, top movers, bulk/block deals, insider trading, FII/DII activity, short selling, announcements, and corporate actions. Missing historical data and fundamental analysis, but the core real-time and regulatory data is well covered.