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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

12 read-only tools for Indian stock analysis — Nifty 500, 3 timeframes, yfinance.

README.md

Indian NSE Stock Insights 🇮🇳📈

Public MCP server for Indian stock market analysis — Nifty 500 universe, 12 tools, 3 timeframes.

Built with FastMCP · Data from yfinance · Hosted at stockmcp.alokbarnwal.com

Educational only. Not investment advice. See 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

graph TB
    subgraph Internet
        C[Claude.ai / MCP Client]
    end

    subgraph Server["Production Server"]
        subgraph Protection
            F2B[fail2ban<br/>auto-ban repeat abusers]
            NG[nginx<br/>rate limit 20r/s · conn limit · TLS]
        end

        subgraph Application
            MCP["FastMCP Server<br/>port 8089 · 12 tools"]
            TOOLS["Tool Modules<br/>quote · ohlc · indicators<br/>levels · zones · patterns<br/>fibonacci · volume · market<br/>compare · screener"]
        end

        subgraph Data
            DB[(MySQL: nse_public<br/>500 stocks × 3 timeframes)]
            CRON[Cron Jobs<br/>5min · 15min · daily]
        end
    end

    subgraph External
        YF[Yahoo Finance<br/>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

<details> <summary><strong>Click to expand — full deployment runbook</strong></summary>

Runs on /home/ubuntu/nse-public-mcp/ — completely isolated from /home/ubuntu/swingtrader/.

1. Clone

cd /home/ubuntu
git clone https://github.com/alokbarnwal/nse-public-mcp.git
cd nse-public-mcp

2. Create database and user

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

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

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

5. Configure environment

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:

python -m config.stocks --refresh        # fetches NSE archives, rewrites config/stocks.py

7. Load stock universe into DB

python -m config.stocks --load-to-db

8. Backfill historical data (long-running, use screen/tmux)

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_<timeframe>.json. Re-run:

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:

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:

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

crontab -e

Add:

# 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

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:

sudo du -sh /var/lib/mysql/nse_public/

</details>

---

Service Management

# 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 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 — free to use, modify, and distribute.

Disclaimer

This project is for educational and informational purposes only. Not investment advice. See DISCLAIMER.md.

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