# Indian NSE Stock Insights **Category:** 💰 Finance & Fintech **Repository:** https://github.com/alokbarnwal/nse-public-mcp **Views:** 0 **Installs:** 0 **Upvotes:** 0 **Directory Page:** https://allmcps.com/mcp/indian-nse-stock-insights ## Description 12 read-only tools for Indian stock analysis — Nifty 500, 3 timeframes, yfinance. ## Claude Desktop Quick Installation Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low): ```json "mcpServers": { "indian-nse-stock-insights": { "command": "npx", "args": ["-y","indian-nse-stock-insights"] } } ``` ## Documentation & README # Indian NSE Stock Insights 🇮🇳📈 Public MCP server for Indian stock market analysis — **Nifty 500 universe**, **12 tools**, **3 timeframes**. Built with [FastMCP](https://github.com/jlowin/fastmcp) · Data from [yfinance](https://github.com/ranaroussi/yfinance) · Hosted at `stockmcp.alokbarnwal.com` > **Educational only. Not investment advice.** See [DISCLAIMER.md](DISCLAIMER.md). --- ## Quick Connect — 30 Seconds **Claude.ai** → Settings → Connectors → Add custom MCP connector: ``` Name: Indian NSE Stock Insights URL: https://stockmcp.alokbarnwal.com/mcp ``` That's it. Start asking questions about Indian stocks. --- ## 12 Tools | # | Tool | Parameters | What it returns | |---|------|-----------|-----------------| | 1 | `get_stock_quote` | `symbol` | Last close, prev close, change %, day H/L, volume | | 2 | `get_ohlc_data` | `symbol`, `timeframe?`, `limit?` | OHLCV candles (up to 500, newest first) | | 3 | `get_technical_indicators` | `symbol`, `timeframe?` | EMAs, SMAs, RSI, MACD, Bollinger, ADX, Stoch, ATR, OBV, VWAP | | 4 | `get_support_resistance` | `symbol`, `timeframe?` | Pivot points + historical S/R levels | | 5 | `get_demand_supply_zones` | `symbol`, `timeframe?`, `status?` | Demand/supply zones (DBR/RBR/RBD/DBD) | | 6 | `get_candlestick_patterns` | `symbol`, `timeframe?`, `limit?` | HAMMER, DOJI, ENGULFING, etc. | | 7 | `get_chart_patterns` | `symbol`, `timeframe?`, `status?` | DOUBLE_TOP, HEAD_AND_SHOULDERS, etc. | | 8 | `get_fibonacci_levels` | `symbol`, `timeframe?` | Retracement swings (UP/DOWN) with fib levels | | 9 | `get_volume_analysis` | `symbol` | 5min hotspots, OBV trend, volume ratio | | 10 | `get_market_overview` | *(none)* | Indices, top gainers/losers, most active, breadth | | 11 | `compare_stocks` | `symbols` (2-5) , `timeframe?` | Side-by-side: quote, RSI/MACD/ADX, trend, 30d return | | 12 | `screen_stocks` | `filters` | Filter by RSI, ADX, trend, pattern, sector, etc. | `timeframe` defaults to `daily`. Options: `daily`, `15min`, `5min`. --- ## Example Prompts Try these in Claude.ai after connecting: - *"RELIANCE ka technical analysis do — RSI, MACD, aur support/resistance levels batao"* - *"Show me Nifty 500 stocks with RSI below 30 and ADX above 25"* - *"Compare TCS, INFY, and WIPRO — which one has the best setup right now?"* - *"What does the overall market look like today? Show me top gainers and losers"* - *"HDFC Bank ke demand and supply zones dikhao on the 15-minute chart"* --- ## Architecture ```mermaid graph TB subgraph Internet C[Claude.ai / MCP Client] end subgraph Server["Production Server"] subgraph Protection F2B[fail2ban
auto-ban repeat abusers] NG[nginx
rate limit 20r/s · conn limit · TLS] end subgraph Application MCP["FastMCP Server
port 8089 · 12 tools"] TOOLS["Tool Modules
quote · ohlc · indicators
levels · zones · patterns
fibonacci · volume · market
compare · screener"] end subgraph Data DB[(MySQL: nse_public
500 stocks × 3 timeframes)] CRON[Cron Jobs
5min · 15min · daily] end end subgraph External YF[Yahoo Finance
yfinance API] end C -->|HTTPS POST /mcp| NG NG -->|proxy_pass| MCP MCP --> TOOLS TOOLS -->|read-only queries| DB YF -->|OHLCV data| CRON CRON -->|upsert| DB F2B -.->|monitors| NG ``` --- ## Data Coverage | Timeframe | Retention | Update Frequency | Stocks | |-----------|-----------|-----------------|--------| | Daily | 5 years | EOD (18:00 IST) | 500 | | 15-minute | 2 years | Every 15 min (market hours) | 500 | | 5-minute | 6 months | Every 5 min (market hours) | 500 | Market hours: 09:15–15:30 IST, Monday–Friday (excluding NSE holidays). --- ## Rate Limits | Layer | Limit | Action | |-------|-------|--------| | nginx | 20 requests/sec per IP (burst 40) | HTTP 429 | | nginx | 10 simultaneous connections per IP | HTTP 429 | | fail2ban | 5× rate-limit violations in 2 min | IP banned for 1 hour | --- ## Self-Hosting

Click to expand — full deployment runbook

> Runs on `/home/ubuntu/nse-public-mcp/` — completely isolated from `/home/ubuntu/swingtrader/`. ### 1. Clone ```bash cd /home/ubuntu git clone https://github.com/alokbarnwal/nse-public-mcp.git cd nse-public-mcp ``` ### 2. Create database and user ```bash sudo mysql <<'SQL' CREATE DATABASE IF NOT EXISTS nse_public CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci; CREATE USER IF NOT EXISTS 'nse_writer'@'localhost' IDENTIFIED BY 'CHANGE_ME_STRONG_PASSWORD'; GRANT ALL PRIVILEGES ON nse_public.* TO 'nse_writer'@'localhost'; FLUSH PRIVILEGES; SQL ``` ### 3. Apply schema ```bash mysql -u nse_writer -p nse_public < db/schema.sql mysql -u nse_writer -p nse_public < db/schema_indicators.sql mysql -u nse_writer -p nse_public < db/schema_price_action.sql ``` ### 4. Install dependencies ```bash python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt ``` ### 5. Configure environment ```bash cp .env.example .env chmod 600 .env nano .env # set DB_PASSWORD to match step 2 ``` ### 6. (Optional) Refresh full Nifty 500 list The repo ships with the top ~100 stocks hardcoded. To expand to all 500: ```bash python -m config.stocks --refresh # fetches NSE archives, rewrites config/stocks.py ``` ### 7. Load stock universe into DB ```bash python -m config.stocks --load-to-db ``` ### 8. Backfill historical data (long-running, use screen/tmux) ```bash screen -S backfill source .venv/bin/activate python -m data.backfill --all # Ctrl-A D to detach. Reattach: screen -r backfill ``` Expected runtime: - `daily 5y × 500`: ~30 min - `15min 2y × 500`: ~2 h - `5min 6mo × 500`: ~1 h If anything fails, the failure list is written to `backfill_failures_.json`. Re-run: ```bash python -m data.backfill --timeframe 15min --resume ``` ### 8b. Bulk-compute indicators (long-running, use screen/tmux) After the candle backfill completes, populate the `indicators` table for all 500 stocks across all 3 timeframes: ```bash screen -S indicators cd /home/ubuntu/nse-public-mcp python3 -m indicators.runner --all # Ctrl-A D to detach ``` Expected runtime: ~30–45 min. Idempotent — safe to re-run if interrupted. ### 8c. Bulk-compute price action (long-running, use screen/tmux) After indicators are populated, compute price-action features (zones, S/R, patterns, breakouts, fibs, gaps, volume profile) for all 500 stocks across all 3 timeframes: ```bash screen -S price_action cd /home/ubuntu/nse-public-mcp python3 -m price_action.runner --timeframe daily --all-features python3 -m price_action.runner --timeframe 15min --all-features python3 -m price_action.runner --timeframe 5min --all-features # Ctrl-A D to detach ``` Expected runtime: ~60–90 min total. Idempotent — safe to re-run if interrupted. ### 9. Install crontab ```bash crontab -e ``` Add: ```cron # nse-public-mcp candle updaters */5 9-15 * * 1-5 cd /home/ubuntu/nse-public-mcp && /home/ubuntu/nse-public-mcp/.venv/bin/python -m jobs.cron_5min >> logs/cron_5min.log 2>&1 */15 9-15 * * 1-5 cd /home/ubuntu/nse-public-mcp && /home/ubuntu/nse-public-mcp/.venv/bin/python -m jobs.cron_15min >> logs/cron_15min.log 2>&1 0 18 * * 1-5 cd /home/ubuntu/nse-public-mcp && /home/ubuntu/nse-public-mcp/.venv/bin/python -m jobs.cron_daily >> logs/cron_daily.log 2>&1 # nse-public-mcp indicator updaters (each runs after the matching candle fetch) 30 18 * * 1-5 cd /home/ubuntu/nse-public-mcp && /usr/bin/python3 -m jobs.cron_indicators_daily >> logs/indicators_daily.log 2>&1 20,35,50 9-15 * * 1-5 cd /home/ubuntu/nse-public-mcp && /usr/bin/python3 -m jobs.cron_indicators_15min >> logs/indicators_15min.log 2>&1 5 16 * * 1-5 cd /home/ubuntu/nse-public-mcp && /usr/bin/python3 -m jobs.cron_indicators_15min >> logs/indicators_15min.log 2>&1 2-57/5 9-15 * * 1-5 cd /home/ubuntu/nse-public-mcp && /usr/bin/python3 -m jobs.cron_indicators_5min >> logs/indicators_5min.log 2>&1 # nse-public-mcp price-action updaters (each runs after the matching indicator cron) 35 18 * * 1-5 cd /home/ubuntu/nse-public-mcp && /usr/bin/python3 -m jobs.cron_price_action_daily >> logs/price_action_daily.log 2>&1 25,55 9-15 * * 1-5 cd /home/ubuntu/nse-public-mcp && /usr/bin/python3 -m jobs.cron_price_action_15min >> logs/price_action_15min.log 2>&1 9-54/15 9-15 * * 1-5 cd /home/ubuntu/nse-public-mcp && /usr/bin/python3 -m jobs.cron_price_action_5min >> logs/price_action_5min.log 2>&1 ``` > Cron times are server-local. Verify the server is on IST (`timedatectl`) — if not, shift the hour ranges. > The 5-min indicator cron is offset to `2-57/5` so it runs ~2 minutes after `cron_5min` and never reads stale candles. > The price-action 5-min cron is offset to `9-54/15` (minutes 9, 24, 39, 54) so it runs ~2 minutes after each `cron_indicators_5min` slot. ### 10. Verification ```bash mysql -u nse_writer -p nse_public <<'SQL' SELECT 'daily' AS tf, COUNT(*) AS n FROM candles_daily UNION ALL SELECT '15min', COUNT(*) FROM candles_15min UNION ALL SELECT '5min', COUNT(*) FROM candles_5min; -- Per-stock coverage on daily — flag any with < 1000 rows (~4 trading years) SELECT symbol, COUNT(*) AS n FROM candles_daily GROUP BY symbol HAVING n < 1000 ORDER BY n; -- Latest data freshness SELECT MIN(candle_date) AS earliest, MAX(candle_date) AS latest FROM candles_daily; -- Recent cron health SELECT job_type, timeframe, symbols_success, symbols_failed, started_at, duration_seconds FROM fetch_log ORDER BY started_at DESC LIMIT 20; SQL ``` DB size on disk: ```bash sudo du -sh /var/lib/mysql/nse_public/ ```

--- ## Service Management ```bash # Server status sudo systemctl status nse-public-mcp # Restart sudo systemctl restart nse-public-mcp # Logs sudo journalctl -u nse-public-mcp -n 100 -f # nginx sudo nginx -t && sudo systemctl reload nginx # fail2ban sudo fail2ban-client status nginx-mcp-ratelimit ``` --- ## Layout See [PROJECT.md](PROJECT.md) for architecture and data-flow diagram. ``` config/ # settings, stock universe, holiday calendar data/ # yfinance fetcher, backfill CLI, shared upsert helpers db/ # schema and pooled connection indicators/ # technical indicator compute, persist, runner price_action/ # zones, patterns, levels, trends mcp_server/ # FastMCP server + 12 tool modules jobs/ # cron entrypoints (candles + indicators + price action) deploy/ # systemd service, nginx config, fail2ban rules tests/ # mocked unit tests (82 tests) ``` --- ## Operational Notes - **Be respectful to Yahoo Finance.** The fetcher sleeps 1–3 s between requests and retries with backoff. Don't reduce these. - **Idempotent.** All inserts are `INSERT … ON DUPLICATE KEY UPDATE`. Replaying a cron tick or rerunning backfill is safe. - **Holiday calendar** lives in `config/holidays.py`. Update it once a year when NSE publishes the next year's list. - **Retention cleanup** runs at the end of `jobs/cron_daily.py`. Daily candles older than 5 y, 15min older than 2 y, 5min older than 6 mo are purged. --- ## License [MIT](LICENSE) — free to use, modify, and distribute. ## Disclaimer This project is for **educational and informational purposes only**. Not investment advice. See [DISCLAIMER.md](DISCLAIMER.md).