nse-bse-indian-stock-market-data-mcp
Provides real-time access to 8,200+ Indian equities with financials, technicals, and institutional flows—eliminating manual data gathering and enabling data-…
NSE BSE Indian Stock Market Data MCP server — search, screen & analyze all 8,200+ NSE/BSE stocks with 34 tools: live quotes, financials, technicals, 326-ratio screener, FII/DII flows, IPOs & portfolio tracking. Works with Claude, ChatGPT, Cursor & any MCP client | tapetide.com
- Ask Claude to find undervalued stocks matching your dividend yield and debt-to-equity criteria.
- Generate a technical analysis report comparing price momentum across your portfolio holdings.
- Analyze FII and DII flow patterns to understand institutional investor sentiment shifts.
Provides real-time access to 8,200+ Indian equities with financials, technicals, and institutional flows—eliminating manual data gathering and enabling data-driven investment decisions for teams analyzing Indian markets.
Investment analysts and portfolio managers evaluating NSE/BSE stocks and screening opportunities with quantitative criteria.
https://github.com/Tapetide-hq/nse-bse-indian-stock-market-d...
By Tapetide-hq
How to Get It
claude mcp add nse-bse-indian-stock-market-data-mcp -- npx -y nse-bse-indian-stock-market-data-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Find undervalued stocks matching my dividend yield and debt-to-equity criteria
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 53 GitHub stars; 2 contributors; last commit 1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 53 GitHub stars; 2 contributors; last commit 1d ago; license MIT.