No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Tapetide-hq · MCP Server · ★ 64
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is nse-bse-indian-stock-market-data-mcp safe to install? View the security audit →
NSE & BSE Indian Stock Market Data MCP Server The Model Context Protocol server for Indian stock markets — 34 tools to search, screen & analyze all 8,200+ NSE and BSE stocks from Claude, ChatGPT, Cursor & any AI assistant Documentation • Quick Start • 34 Tools • Example Prompts • npm What is this? Tapetide MCP Server is a Model Context Protocol server that connects AI assistants to real-time Indian stock market data. It covers all 8,200 stocks listed o
| Stars | 64 |
| Forks | 18 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.5906326339833/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-03 |
| Created | 2026-03-29 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~10k |
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nse-bse-indian-stock-market-data-mcp is 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. It is categorized as a MCP Server with 64 GitHub stars.
nse-bse-indian-stock-market-data-mcp is primarily written in TypeScript. It covers topics such as ai-agent, bse, chatgpt.
You can find installation instructions and usage details in the nse-bse-indian-stock-market-data-mcp GitHub repository at github.com/Tapetide-hq/nse-bse-indian-stock-market-data-mcp. The project has 64 stars and 18 forks, indicating an active community.
nse-bse-indian-stock-market-data-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to nse-bse-indian-stock-market-data-mcp on Agent Skills Hub include notion-mcp-server, indian-trading-skills, google-analytics-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: