finstack-mcp
The FinStack MCP server provides comprehensive market intelligence tools for Indian and global markets, enabling AI-assisted investment research directly within Claude, Cursor, and other MCP clients.
๐ฎ๐ณ Indian Market Data
Real-time NSE/BSE quotes, index tracking (Nifty 50, Sensex, Bank Nifty, etc.), and market status
Historical OHLCV data with multiple timeframes (1m to monthly)
Top movers, circuit breaker scanner, 52-week high/low scanner
FII/DII institutional flows, bulk/block deals, corporate actions
Sector performance, earnings calendar, IPO calendar, quarterly results
Mutual fund NAV lookup via AMFI (no API key needed)
๐ Fundamentals & Financials
Income statements, balance sheets, cash flow statements (annual or quarterly)
Key ratios (P/E, P/B, ROE, ROA, EV/EBITDA, debt/equity, dividend yield, etc.)
Company profiles and up to 10 years of dividend history
๐ Global Markets
Global stock quotes and historical data (US, UK, European, Asian equities)
Crypto prices and history for 100+ coins (CoinGecko)
Live forex rates for 50+ currency pairs
Market news for any stock or general trends
SEC filings (10-K, 10-Q, 8-K) via EDGAR for US companies
๐ Technical Analysis
Indicators: RSI, MACD, SMA, EMA, Bollinger Bands, ATR, Stochastic, ADX, OBV with buy/sell signals
Support & resistance levels via pivot points (R1/R2/R3/S1/S2/S3)
Side-by-side stock comparison (2โ5 stocks) and stock screener by P/E, ROE, market cap, sector, and more
๐ฏ Options & Derivatives
NSE options chain with strike prices, premiums, volume, open interest, IV, and Put-Call Ratio (PCR)
๐ผ Portfolio & Risk
Portfolio analysis: P&L, weights, concentration risk, winners and losers
Strategy backtesting: SMA crossover vs. buy-and-hold with custom parameters
FinStack MCP
95 free tools for Indian + global markets. Works inside Claude, Cursor, and any MCP client.
Open-source market intelligence for Indian equities, global markets, and MCP-native AI workflows.
Ask one question like Should I buy Reliance? and get debate, sentiment, smart-money, risk, peer context, and ranking in one stack.
pip install finstack-mcpOr run without installing:
uvx finstack-mcpAsk Claude things like:
"Give me a full stock brief on Reliance"
-> 6 AI agents debate: FII Desk + Algo Trader + Value Investor + Retail Pulse + Macro Analyst + Options Flow
-> Consensus: BUY/HOLD/SELL with reasoning
"Is someone accumulating HDFC Bank quietly?"
-> Checks OI buildup, block deals, promoter buying, volume spike simultaneously
"What's the social buzz on TCS before results?"
-> StockTwits + Reddit + Economic Times -> 67% bullish | Signal: HOLD
"Will Nifty go up tomorrow?"
-> RSI + FII flow + PCR + VIX + G-Sec + GIFT Nifty -> 63% probability up
"Should I take a NIFTY CE or PE today?"
-> Intraday F&O setup -> BUY_CE / BUY_PE / NO_TRADE with ATM strike zone, confidence, and approval-ready summary
"Give me the 8:15 AM F&O brief"
-> GIFT Nifty + VIX + NIFTY setup + BANKNIFTY setup -> ready-to-forward morning note
"Scan my portfolio for risk"
-> Sector concentration, pledged promoters, FII exposure, XIRR, diversification score
"Is this Telegram stock tip channel a scam?"
-> Accuracy %, avg return %, pump-and-dump probability scoredDemo preview
Stock brief in action

Agent battle visualization

Example outputs


Related MCP server: NSE-MCP
Launch resources
Why this is different
Built for Indian markets first, not as a US-market wrapper with a few NSE tickers added later
MCP-native, so it works inside Claude, Cursor, and other agent workflows instead of being just another dashboard
Combines data, scoring, debate, and research workflows instead of forcing users to stitch 5 paid tools together
Includes tools competitors usually do not offer at all: stock debate, watchlist ranking, stock timeline, Telegram tracker, GST-to-stock context, and budget analyzer
What this replaces
Tool | What you pay | finstack-mcp |
Bloomberg Terminal | $31,980 / yr | FREE |
Bloomberg ESG + Credit | $24,000 / yr | FREE |
Sensibull (Options Greeks) | โน15,600 / yr | FREE |
Morningstar (MF flows) | $17,500 / yr | FREE |
Zerodha real-time data | โน6,000 / yr | FREE via Angel One |
Screener.in Pro | โน4,999 / yr | FREE |
Trendlyne Pro | โน4,950 / yr | FREE |
Install + connect (2 minutes)
pip install finstack-mcpClaude Desktop
Add to claude_desktop_config.json:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"finstack": {
"command": "python",
"args": ["-m", "finstack.server"]
}
}
}Restart Claude Desktop. Done.
Cursor / Windsurf / Cline
{
"mcpServers": {
"finstack": {
"command": "python",
"args": ["-m", "finstack.server"]
}
}
}Add to your IDE's MCP config file and reload.
uvx (no install needed)
{
"mcpServers": {
"finstack": {
"command": "uvx",
"args": ["finstack-mcp"]
}
}
}Works with: Claude Desktop ยท Cursor ยท Windsurf ยท Cline ยท Continue.dev ยท Zed ยท Jan.ai ยท LibreChat ยท any MCP client
Remote MCP publishing roadmap
If you want finstack-mcp to move beyond local desktop config and become available through connector ecosystems, keep the local python -m finstack.server setup for developers and add a hosted remote MCP version for public distribution.
What to build for remote HTTP
Expose FinStack through a public MCP endpoint over HTTPS, preferably Streamable HTTP or SSE.
Add OAuth before opening it to outside users.
Keep tool descriptions narrow, clear, and safe.
Add rate limiting, monitoring, and a visible support contact.
Publish a privacy policy and terms before any official submission.
ChatGPT / OpenAI path
Host a remote MCP server that is reachable over HTTPS.
Test it first as a custom connector or custom app in ChatGPT.
Add connector-friendly read tools such as
searchandfetchif you want broader compatibility with OpenAI connector flows.Keep FinStack-specific tools like
get_stock_brief,get_stock_debate,get_social_sentiment, andanalyze_portfolioas domain tools on top.
Claude / Anthropic path
First make sure the server works as a custom connector.
Then prepare for directory review instead of assuming instant listing.
Anthropic reviews third-party MCP servers for safety, security, privacy, and compatibility before directory inclusion.
Directory listing is not guaranteed even if the server is technically valid.
Practical submission checklist
Public HTTPS MCP endpoint
OAuth login flow
Stable server uptime
Safe tool scope and descriptions
Privacy policy
Terms of service
Support email or issue tracker
Clear docs and example prompts
No tool behavior that encourages bypassing model safety policies
Recommended product split
Local stdio MCP: best for developers and power users
Hosted remote MCP: best for connectors and wider distribution
Separate hosted FinStack web UI: best place for premium visuals like Agent Battle
This keeps MCP as the execution layer and your own frontend as the premium experience.
95 tools across 10 categories
Indian Markets (live data)
NSE/BSE real-time quotes, OHLCV history, market status
Nifty 50, Bank Nifty, Sensex indices
FII/DII institutional flows (daily + historical)
Bulk & block deals, circuit breaker scanner, 52W high/low scanner
Mutual fund NAV, corporate actions, earnings calendar, IPO calendar
AI Intelligence (unique to finstack-mcp)
get_stock_briefโ 6 AI agents debate any stock โ BUY/HOLD/SELL consensusget_stock_debateโ 3-round sequential agent debate with rebuttals and emergent consensusget_social_sentimentโ StockTwits + Reddit + ET RSS โ sentiment signaldetect_unusual_activityโ OI buildup + block deals + promoter change + volume spikeget_nifty_outlookโ 6-signal probability model for next session directionget_fno_trade_setupโ NIFTY / BANKNIFTY options call: BUY_CE, BUY_PE, or NO_TRADE with ATM strike guidancepredict_earningsโ beat/miss probability before quarterly resultsget_fii_retail_divergenceโ highest-conviction Indian market signalget_morning_fno_briefโ daily NIFTY/BANKNIFTY F&O brief with approval-ready setup summary
Research & Ranking
scan_watchlistโ batch-rank a watchlist so automation can surface top buys and top risksget_stock_signal_scoreโ automation-friendly score with factor impacts, supports, and risksget_stock_timelineโ one feed for news, results, insider, bulk deals, sentiment, pledge, and smart moneyget_sector_peer_contextโ sector strength plus peer rank / valuation contextevaluate_signal_qualityโ honest proof layer for the price-action core before making accuracy claims
Portfolio & Risk
analyze_portfolioโ P&L, XIRR, sector concentration, risk flags, diversification scoreget_mf_overlapโ fund overlap % from AMFI public disclosuresget_pledge_alertโ promoter pledge early warning with QoQ velocityscan_pledge_risksโ batch pledge scan across your watchlistpredict_circuitโ lower circuit risk predictiondetect_pumpโ pump-and-dump pattern detector for small/micro caps
Broker Integrations (zero-delay live data)
Angel One SmartAPI โ live quotes, Level 2 depth, intraday candles
Fyers API v3 โ live quotes + candles
ICICI Breeze โ live quotes + candles
Dhan SmartAPI โ live quotes + candles
Upstox API v2 โ live quotes + candles
Options & Greeks
Full NSE options chain with PCR, Open Interest, Max Pain
Black-Scholes Greeks: Delta, Gamma, Theta, Vega, Rho
OI analytics, IV summary, top OI strikes
Market Intelligence
India VIX + signal, GIFT Nifty pre-market
NSE insider trading (SAST filings), promoter shareholding + pledge %
RBI policy rates, India macro (CPI, GDP, CAD)
AMFI mutual fund flows, India G-Sec yield curve
get_sebi_alertsโ SEBI enforcement order tracker (early crash warning)get_morning_briefโ 8:15 AM pre-market brief
Never-built-before (India-specific)
correlate_gst_to_stocksโ GST monthly data as 1-3mo sector leading indicatorget_agm_briefโ AGM/EGM unusual resolution detector (debt raise, salary hike, pledge approval)get_insider_signalโ SEBI SAST insider buy/sell pattern vs forward returnsget_telegram_trackerโ Dalal Street tip channel accuracy + pump-and-dump scoringanalyze_budget_liveโ paste FM speech โ instant sector/stock signals (Feb 1st)get_budget_impactโ historical Union Budget winners + losers by year
Fundamentals
Income statement, balance sheet, cash flow (Indian + US)
Key ratios: P/E, ROE, margins, debt/equity, growth
Company profile, dividend history (10-year), stock comparison
Global + Crypto + Tax
US, EU, global equities โ quotes + history
Crypto: BTC, ETH, SOL, 100+ coins (CoinGecko)
Forex: USD/INR, EUR/INR, 50+ pairs
SEC filings (10-K, 10-Q, 8-K)
LTCG/STCG tax calculator (post-July 2024 Budget rules โ nobody else has this)
Accuracy and evaluation
FinStack should be presented as a decision-support engine, not as a guaranteed prediction machine.
get_stock_signal_scoreis a ranking layer for triage, screening, and automationevaluate_signal_qualityis an honest proof layer for the price-action corethe full live system also uses sentiment, insider activity, pledge risk, macro, and peer context, so one backtest number should not be marketed as "the accuracy of FinStack"
safest language for users:
signal engine,research assistant,multi-factor ranking, anddecision-support
Comparison vs Indian market tools
Feature | finstack-mcp | Screener.in | Tickertape | Sensibull | Trendlyne | TradingView |
AI agents debate a stock | โ | โ | โ | โ | โ | โ |
Social sentiment (Reddit + StockTwits) | โ | โ | โ | โ | โ | โ |
Nifty direction probability | โ | โ | โ | โ | โ | โ |
Telegram tip channel tracker | โ | โ | โ | โ | โ | โ |
Budget speech live analyzer | โ | โ | โ | โ | โ | โ |
GST โ sector stock predictor | โ | โ | โ | โ | โ | โ |
Pump-and-dump detector | โ | โ | โ | โ | โ | โ |
Promoter pledge early warning | โ | โ | โ paid | โ | โ paid | โ |
Options Greeks | โ free | โ | โ | โ โน1,300/mo | โ | โ paid |
FII/DII flows | โ free | โ | โ | โ | โ paid | โ |
Fundamentals (P/E, ROE, etc.) | โ free | โ free | โ | โ | โ | โ paid |
Works inside Claude / Cursor | โ | โ | โ | โ | โ | โ |
Price | Free | โน4,999/yr | โน2,800/yr | โน15,600/yr | โน4,950/yr | $168/yr |
Real-time data (optional)
Without setup: 15-minute delayed data (yfinance โ free, no API key). With Angel One: zero delay, Level 2 order book, intraday candles.
pip install finstack-mcp[broker]ANGEL_API_KEY=your_key
ANGEL_CLIENT_ID=your_client_id
ANGEL_PASSWORD=your_pin
ANGEL_TOTP_SECRET=your_totp_secretFree account at smartapi.angelbroking.com. Your key stays local in .env โ never leaves your machine.
Other brokers: Fyers, ICICI Breeze, Dhan, Upstox also supported.
Data sources
Source | Covers | Key needed |
yfinance | NSE/BSE/US equities, crypto, forex, history | None |
NSE direct API | FII/DII, options chain, insider trading, corporate actions | None |
BSE India API | Credit ratings, ESG/BRSR | None |
SEC EDGAR | US filings (10-K, 10-Q, 8-K) | None |
CoinGecko | Crypto market data | None |
World Bank | India macro: CPI, GDP, CAD | None |
AMFI / mfapi.in | Mutual fund NAV, AUM, SIP flows | None |
StockTwits | Trader sentiment (pre-tagged bullish/bearish) | None |
Reddit (praw) | r/IndiaInvestments + r/DalalStreetTalks | Optional free |
Finance Ministry | Monthly GST collection data | None |
SEBI public filings | Enforcement orders, insider SAST disclosures | None |
Angel One SmartAPI | Real-time NSE, Level 2 depth, intraday | Free account |
Troubleshooting
Claude says "finstack not found" after install
Restart Claude Desktop fully (quit from system tray, not just close)
Config path on Windows:
%APPDATA%\Claude\claude_desktop_config.jsonVerify Python is in PATH:
python --version
pip install fails
python -m pip install --upgrade pip
pip install finstack-mcpAngel One TOTP fails
TOTP secret โ password. Find it in Angel One app โ Profile โ Enable TOTP โ secret key
Install:
pip install finstack-mcp[broker]
Development
git clone https://github.com/finstacklabs/finstack-mcp.git
cd finstack-mcp
pip install -e .[dev]
pytest -qPRs welcome. Adding a new broker: create src/finstack/data/broker_X.py and register in tools/.
Links
Landing page: https://finstacklabs.github.io/
YouTube: https://youtu.be/PWK89gBbHEM
MIT License ยท finstacklabs.github.io
Available Tools
95 toolsamfi_fund_flowsA
AMFI mutual fund industry data: total AUM, SIP flows, scheme count by category.
Morningstar Direct charges $17,500/year for mutual fund flow data. AMFI (Association of Mutual Funds in India) publishes all data free.
Provides:
Total industry AUM (approximate)
Monthly SIP inflow figures
Total folios and investor count
Scheme breakdown by category (Equity, Debt, Hybrid, ETF, ELSS, etc.)
Links to detailed AMFI data portal
Examples: amfi_fund_flows() โ India mutual fund industry overview and flows
Inputs: no named parameters. Returns: result
analyze_budget_liveA
Real-time budget speech analyzer โ use on Feb 1st as FM speaks.
Paste the Finance Minister's speech text (any length, even partial). Returns instant sector + stock impact mapping.
"FM just said โน2L Cr for infrastructure โ BUY L&T, NTPC, IRB Infra"
Detects mentions of: Infrastructure, Defence, Pharma, Renewable Energy, Real Estate, Agriculture, Auto, FMCG, IT/Digital, Steel, Telecom, Tax changes.
Args: text: Budget speech transcript text (paste directly from live broadcast)
Inputs: text (required). Returns: result
analyze_portfolioA
Portfolio X-ray: deep risk + return analysis for your holdings.
Input format โ list of holdings: [ {"symbol": "RELIANCE", "qty": 10, "avg_price": 2400, "buy_date": "2024-01-15"}, {"symbol": "TCS", "qty": 5, "avg_price": 3800} ]
Returns:
total invested, current value, P&L, P&L %
XIRR (if buy_date provided)
per-holding breakdown with sector
sector concentration % (flags if > 40% in one sector)
risk flags: pledged promoters, single stock > 30%, FII reducing
diversification score (0โ100)
Args: holdings: list of {symbol, qty, avg_price, buy_date (optional)}
Inputs: holdings (required). Returns: result
backtest_strategyA
Backtest a Simple Moving Average (SMA) crossover strategy. [PRO]
Tests: Buy when short SMA crosses above long SMA, sell when it crosses below. Compares strategy return vs buy-and-hold.
Args: symbol: Stock ticker (e.g., RELIANCE, AAPL, TCS) short_window: Short SMA period in days (default: 20) long_window: Long SMA period in days (default: 50) period: Backtest period: 1y, 2y, 5y (default: 2y) initial_capital: Starting capital (default: 100000)
Examples: backtest_strategy("RELIANCE") โ Default 20/50 SMA backtest backtest_strategy("AAPL", 10, 30, "5y") โ Custom 10/30 SMA, 5 years backtest_strategy("TCS", 50, 200, "5y", 500000) โ Golden cross, 5L capital
Inputs: symbol (required), period, long_window, short_window, +1 more. Returns: result
balance_sheetA
Get balance sheet for a company.
Returns total assets, total liabilities, shareholder equity, cash, debt, inventory, receivables, and more.
Args: symbol: Stock ticker (e.g., RELIANCE, TCS, AAPL, MSFT) quarterly: If True, quarterly data. If False (default), annual.
Examples: balance_sheet("HDFCBANK") โ HDFC Bank annual balance sheet balance_sheet("AAPL", quarterly=True) โ Apple quarterly balance sheet
Inputs: symbol (required), quarterly. Returns: result
broker_setup_statusA
Check Angel One SmartAPI integration status and get setup instructions.
Shows whether your Angel One credentials are configured and working. Also explains how to set up if not configured yet.
Your API key stays in your local .env file โ never committed to GitHub. The open-source code only reads environment variables, never stores keys.
Examples: broker_setup_status() โ Check if Angel One is connected + setup guide
Inputs: no named parameters. Returns: result
brsr_esgA
BRSR (Business Responsibility & Sustainability Report) ESG data for listed companies.
SEBI mandates BRSR from India's top 1000 listed companies since FY2022-23. Bloomberg and LSEG charge $24,000+/year for ESG scores. SEBI makes BRSR filings publicly available. We surface them free.
Provides:
BRSR filing links (PDF) for last 3-5 years
BRSR framework: 9 principles covering ESG topics
Environment disclosures (GHG, energy, water, waste)
Social disclosures (employees, safety, CSR)
Governance disclosures (ethics, stakeholder engagement)
Direct links to NSE/BSE BRSR portals
Args: symbol: NSE stock symbol (e.g., RELIANCE, TCS, INFY, HDFCBANK)
Examples: brsr_esg("TCS") โ TCS BRSR filings and ESG framework coverage brsr_esg("RELIANCE") โ Reliance sustainability disclosures
Inputs: symbol (required). Returns: result
bse_quoteA
Get real-time BSE (Bombay Stock Exchange) quote for an Indian stock.
Returns current price, change, volume, market cap, and key ratios.
Args: symbol: BSE stock symbol (e.g., RELIANCE, TCS, INFY)
Examples: bse_quote("RELIANCE") โ Reliance Industries BSE price bse_quote("TCS") โ TCS BSE price
Inputs: symbol (required). Returns: result
calculate_tax_liabilityA
Calculate Indian LTCG / STCG tax liability for an equity or mutual fund trade.
Applies Indian tax rules (post July 2024 Budget):
Listed equity / equity MF STCG (โค365 days): 20% flat (Section 111A)
Listed equity / equity MF LTCG (>365 days): 12.5% above โน1.25L exemption (Section 112A)
Debt funds (post Apr 2023): taxed at income slab rate regardless of holding period
Capital losses: carried forward for 8 years
Args: buy_price: Purchase price per share/unit in INR buy_date: Date of purchase in DD-MM-YYYY format (e.g. 15-01-2023) sell_price: Selling price per share/unit in INR sell_date: Date of sale in DD-MM-YYYY format (e.g. 20-03-2024) quantity: Number of shares or units asset_type: One of: equity, mutual_fund_equity, mutual_fund_debt, debt_fund symbol: Optional stock/fund symbol for display (e.g. RELIANCE, TCS)
Returns: Formatted tax summary with holding period, gain classification, and tax liability.
Examples: calculate_tax_liability(buy_price=1200, buy_date="01-01-2023", sell_price=1500, sell_date="15-03-2024", quantity=100, symbol="RELIANCE")
Inputs: buy_date (required), quantity (required), buy_price (required), sell_date (required), +3 more. Returns: result
cash_flowA
Get cash flow statement for a company.
Returns operating cash flow, investing cash flow, financing cash flow, free cash flow, capital expenditure, and more.
Args: symbol: Stock ticker (e.g., INFY, SBIN, GOOGL, AMZN) quarterly: If True, quarterly data. If False (default), annual.
Examples: cash_flow("INFY") โ Infosys annual cash flow cash_flow("GOOGL", quarterly=True) โ Google quarterly cash flow
Inputs: symbol (required), quarterly. Returns: result
check_signal_outcomesA
Manually trigger outcome checking for all pending signals.
Normally runs automatically, but you can call this to force-check any signals whose 7-day or 30-day window has elapsed.
Returns how many signals were updated.
Inputs: no named parameters. Returns: result
company_profileA
Get company overview and profile information.
Returns company name, sector, industry, country, number of employees, website, business description, exchange, and market cap.
Args: symbol: Stock ticker (e.g., RELIANCE, TCS, AAPL, MSFT)
Examples: company_profile("RELIANCE") โ What does Reliance Industries do? company_profile("TSLA") โ Tesla company overview company_profile("INFY") โ Infosys company details
Inputs: symbol (required). Returns: result
compare_stocks_toolA
Compare 2-5 stocks side by side.
Shows price, P/E, P/B, ROE, profit margin, revenue growth, debt/equity, dividend yield, beta, sector, and 52-week range for each stock in a comparison table format.
Args: symbols: Comma-separated stock symbols (2-5 stocks). e.g., "RELIANCE,TCS,INFY" or "AAPL,MSFT,GOOGL"
Examples: compare_stocks_tool("RELIANCE,TCS,INFY") โ Compare 3 Indian IT giants compare_stocks_tool("AAPL,MSFT,GOOGL,AMZN") โ Compare US tech compare_stocks_tool("HDFCBANK,ICICIBANK,SBIN,KOTAKBANK") โ Compare banks
Inputs: symbols (required). Returns: result
correlate_gst_to_stocksA
GST collection data โ sector performance predictor.
Monthly GST figures (Finance Ministry, public) are a 1-3 month leading indicator for demand-sensitive sectors.
"GST from auto sector up 24% YoY โ MSIL/Bajaj Auto historically follow in 2-3 months"
Sectors covered: Auto, FMCG, Real Estate, Cement, Steel, IT, Banking, Retail.
Args: sector: Sector name (e.g. "Auto", "FMCG", "Cement"). Use "all" for full cross-sector report.
Inputs: sector. Returns: result
credit_ratingsA
Credit ratings for an Indian listed company from SEBI-mandated exchange filings.
SEBI requires all rated instruments to disclose credit rating changes on NSE/BSE. Bloomberg charges $24,000/year to access this. SEBI makes it public. We surface it free.
Provides:
Rating agency (CRISIL, ICRA, CARE, India Ratings)
Current rating and rating action (upgraded/downgraded/reaffirmed)
Instrument type and rated amount
Outlook (stable/positive/negative/watch)
Filing date
Args: symbol: NSE stock symbol (e.g., RELIANCE, TATAMOTORS, ADANIENT)
Examples: credit_ratings("RELIANCE") โ Reliance credit ratings from CRISIL/ICRA credit_ratings("ADANIENT") โ Adani credit rating history and current outlook
Inputs: symbol (required). Returns: result
crypto_historicalA
Get historical cryptocurrency price data.
Args: symbol: Crypto ticker (e.g., BTC, ETH, SOL) period: 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, max interval: 1m, 5m, 15m, 30m, 1h, 1d, 1wk, 1mo
Examples: crypto_historical("BTC", "1y", "1d") โ Bitcoin 1 year daily crypto_historical("ETH", "3mo", "1wk") โ Ethereum 3 month weekly
Inputs: symbol (required), period, interval. Returns: result
crypto_priceA
Get live cryptocurrency price in USD.
Returns current price, 24h change, market cap, volume, and all-time high.
Args: symbol: Crypto ticker (e.g., BTC, ETH, SOL, XRP, DOGE, ADA, MATIC, DOT)
Examples: crypto_price("BTC") โ Bitcoin live price crypto_price("ETH") โ Ethereum live price crypto_price("SOL") โ Solana live price
Inputs: symbol (required). Returns: result
detect_pumpA
Detect pump-and-dump operator activity in an NSE stock.
Scans for coordinated pump patterns:
Volume spike > 3x 20-day average
Price surge > 20% in 5 days without news
Multiple upper circuit days in last week
Micro/small cap (highest vulnerability)
"This microcap hit 3 upper circuits in a week โ 9 out of 10 times this reverses violently"
Returns:
pump_probability: low / medium / high / critical
red_flags: specific signals that fired
verdict + recommendation (exit / avoid / cautious)
Args: symbol: NSE symbol (most useful for small/micro caps)
Inputs: symbol (required). Returns: result
detect_unusual_activityA
Detect smart money and unusual activity for any NSE stock.
Scans 4 signals simultaneously: โข Volume anomaly โ current volume vs 20-day average (flags 2x+) โข Options OI โ strikes with 2x+ average open interest buildup โข Block/bulk deals โ institutional buy/sell transactions on NSE โข Promoter change โ QoQ shareholding increase (insider buying signal)
Returns an alert level (high/moderate/low/none) with specific findings.
Example output: "Unusual call OI at 3000 strike โ someone is positioning for a breakout" "Promoter increased holding by 2.3% QoQ โ insider buying signal"
Args: symbol: NSE stock symbol (e.g. RELIANCE, HDFC, TATAMOTORS)
Returns JSON with: - alert_level: high / moderate / low / none - verdict: human-readable summary - alerts: list of specific signals fired - findings: per-category details (volume, OI, deals, promoter)
Inputs: symbol (required). Returns: result
dividend_historyA
Get historical dividend payments for a stock.
Returns past dividend dates and amounts, total dividends paid, average dividend, and latest dividend info.
Args: symbol: Stock ticker (e.g., ITC, COALINDIA, AAPL, MSFT)
Examples: dividend_history("ITC") โ ITC dividend payment history dividend_history("COALINDIA") โ Coal India dividends dividend_history("AAPL") โ Apple dividend history
Inputs: symbol (required). Returns: result
dividend_history_deepA
10-year dividend history with yield calculation and annual summary.
Bloomberg and FactSet charge for deep dividend history. yfinance has it free.
Provides:
Full dividend payment history (up to 60 entries)
Annual dividend totals per year (last 10 years)
Trailing 12-month dividend yield %
Total dividends on record
Args: symbol: NSE or global stock symbol (e.g., RELIANCE, TCS, INFY, AAPL)
Examples: dividend_history_deep("TCS") โ TCS 10-year dividend history + yield dividend_history_deep("HDFCBANK") โ HDFC Bank dividend track record
Inputs: symbol (required). Returns: result
earnings_calendarA
Get upcoming earnings dates for a stock.
Shows when a company is expected to report earnings, along with analyst estimates (EPS and revenue).
Args: symbol: Stock ticker (e.g., RELIANCE, AAPL). Required.
Examples: earnings_calendar("RELIANCE") โ When does Reliance report next? earnings_calendar("AAPL") โ Apple earnings date
Inputs: symbol. Returns: result
evaluate_signal_qualityB
Lightweight evaluation / proof layer for the signal engine's price-action core.
Important:
this is an honesty tool, not a marketing gimmick
it does not claim the full live system has exactly this accuracy
it gives a defensible evaluation layer before making accuracy claims
Args: symbol: NSE symbol lookback_months: historical window for checkpoints holding_days: forward return horizon for hit evaluation
Inputs: symbol (required), holding_days, lookback_months. Returns: result
finstack_infoB
Return basic server metadata and useful links.
Inputs: no named parameters. Returns: result
forex_rateA
Get live forex exchange rate between two currencies.
Returns current rate, day's change, high/low, and 52-week range.
Args: from_currency: Source currency code (e.g., USD, EUR, GBP, AED, JPY) to_currency: Target currency code (default: INR)
Examples: forex_rate("USD", "INR") โ US Dollar to Indian Rupee forex_rate("EUR", "INR") โ Euro to Indian Rupee forex_rate("AED", "INR") โ UAE Dirham to Indian Rupee forex_rate("USD", "EUR") โ US Dollar to Euro forex_rate("GBP", "USD") โ British Pound to US Dollar
Inputs: from_currency (required), to_currency. Returns: result
fyers_candlesA
Historical OHLCV candles from Fyers API v3.
interval options: 1m, 3m, 5m, 10m, 15m, 30m, 1h, 2h, 4h, 1d, 1w, 1mo
Args: symbol: NSE symbol (e.g. RELIANCE) interval: Candle interval (default: 1d) days: Number of days of history (default: 30)
Inputs: symbol (required), days, interval. Returns: result
fyers_live_quoteA
Real-time NSE stock quote via Fyers API v3 (zero delay when configured).
Returns LTP, O/H/L/C, volume, change%, 52W high/low.
Setup: pip install fyers-apiv3 FYERS_APP_ID=... FYERS_ACCESS_TOKEN=... FYERS_CLIENT_ID=... Get credentials at https://myapi.fyers.in/
Args: symbol: NSE symbol (e.g. RELIANCE, TCS, INFY)
Inputs: symbol (required). Returns: result
fyers_statusA
Check Fyers API v3 configuration status and setup instructions.
Inputs: no named parameters. Returns: result
get_agm_briefA
AI briefing for upcoming AGM/EGM resolutions from NSE filings.
Flags unusual resolutions:
Large debt issuance (โน500Cr+ raise)
Management salary hikes
Related-party transactions (promoter benefit risk)
New subsidiary creation (liability hiding risk)
Buyback cancellation (cash crunch signal)
Fresh equity (dilution)
Auditor resignation (serious red flag)
Promoter pledge approval
"This company is passing a resolution to raise โน500Cr debt next week โ should you be worried?"
Args: symbol: NSE symbol (e.g. RELIANCE, ZEEL, ADANIENT)
Inputs: symbol (required). Returns: result
get_budget_impactA
Historical Union Budget impact by year.
Returns key announcements, sector winners, sector losers, and market reaction from past Indian Union Budgets.
Available years: 2023, 2024, 2025
Args: year: Budget year as string (e.g. "2025", "2024", "2023")
Inputs: year. Returns: result
get_fii_retail_divergenceA
Detect FII vs retail divergence โ the highest-conviction signal in Indian markets.
When FII and retail move in OPPOSITE directions on the same stock:
FII buying + retail selling = institutional accumulation (BUY signal)
FII selling + retail buying = institutional distribution (SELL signal)
"FIIs bought โน800Cr of HDFC Bank while retail was panic selling โ historically this means +18% in 3 months"
Based on public NSE shareholding disclosures (quarterly).
Args: symbol: NSE symbol (e.g. HDFCBANK, RELIANCE, TATAMOTORS)
Returns:
divergence_type, signal, confidence
interpretation + historical_implication
raw shareholding change data (FII, DII, retail QoQ)
Inputs: symbol (required). Returns: result
get_fno_trade_setupA
Build a clean NIFTY / BANKNIFTY options setup for intraday decisions.
This packages the strongest nifty-agent behavior into one MCP call: read trend, RSI, MACD, FII flows, PCR, VIX regime, and overnight context, then return one clear action:
BUY_CE
BUY_PE
NO_TRADE
Also returns:
confidence_pct
preferred ATM strike zone
approve_message
bull and bear factors
risk flags
Inputs: symbol. Returns: result
get_insider_signalA
Insider trading pattern analysis from SEBI SAST disclosures (public).
Tracks promoter/director/KMP buy and sell transactions. Insiders buying their own stock = strongest possible conviction signal.
"When this CFO buys his own stock โ average return is +23% in 6 months"
Returns:
signal: BUY / SELL / NEUTRAL
net_signal: accumulating / distributing / neutral
recent buy/sell transactions with person + designation
price change since last insider buy
Args: symbol: NSE symbol (e.g. RELIANCE, INFY, ZEEL)
Inputs: symbol (required). Returns: result
get_mf_overlapA
Mutual fund overlap analyzer using public AMFI portfolio disclosures.
"Your HDFC Flexi Cap + Mirae Asset Large Cap have 68% overlap โ you're not diversified, you're holding the same stocks twice."
Supported funds include: HDFC Flexi Cap, Mirae Asset Large Cap, Parag Parikh Flexi Cap, Axis Bluechip, SBI Bluechip, Nippon Large Cap, Kotak Emerging Equity, Quant Small Cap, DSP Small Cap, Nifty 50 Index.
Returns:
overlap_pct: % of stocks common between both funds
common_stocks: list of shared holdings
unique_to_fund1, unique_to_fund2
verdict + risk level (low / medium / high)
Args: fund1: Fund name (e.g. "HDFC Flexi Cap") fund2: Fund name (e.g. "Mirae Asset Large Cap")
Inputs: fund1 (required), fund2 (required). Returns: result
get_morning_briefA
8:15 AM pre-market brief for Indian traders.
Compiles in one call:
GIFT Nifty pre-market signal
India VIX fear index
Nifty direction probability (6-signal model)
FII net flow from yesterday
Top gainers / losers
Sector performance
Upcoming earnings today
Watchlist signals for top 5 Nifty stocks
Returns structured JSON + morning_text (ready to copy-paste or send via WhatsApp/email).
Inputs: no named parameters. Returns: result
get_morning_fno_briefA
8:15 AM F&O-focused morning brief for NIFTY and BANKNIFTY traders.
Compiles in one call:
GIFT Nifty and India VIX
Nifty direction probability
NIFTY options setup
BANKNIFTY options setup
ready-to-send morning_text for Telegram / WhatsApp style delivery
Inputs: no named parameters. Returns: result
get_nifty_outlookA
Compute the probability that Nifty 50 closes UP in the next trading session.
Aggregates 6 market signals into a single % score: โข RSI(14) โ overbought/oversold momentum โข FII net flow (5d) โ institutional buy/sell pressure โข Put/Call Ratio โ options market positioning (contrarian signal) โข India VIX โ fear index (low=risk-on, high=fear) โข G-Sec 10Y yield โ interest rate pressure on equities โข GIFT Nifty โ overnight global pre-market signal
Returns JSON with: - probability_up: e.g. 67 (% chance Nifty goes up) - signal: "Bullish" / "Cautiously bullish" / "Neutral" / "Bearish" - bull_factors: list of signals supporting upside - bear_factors: list of signals supporting downside - inputs: raw values for all 6 signals
Example: "67% probability Nifty up tomorrow โ FII buying + low VIX but overbought RSI"
Inputs: no named parameters. Returns: result
get_pledge_alertA
Promoter pledge early warning for an NSE stock.
Checks current pledge % and QoQ change velocity. Risk levels: safe (< 10%) / watch (rising) / danger (> 30%) / critical (> 50%)
"Caught 3 stocks before they fell 40% โ promoter was pledging shares"
Risk: When promoters pledge shares as collateral for loans, a falling stock price can trigger margin calls โ forced selling โ crash.
Args: symbol: NSE symbol (e.g. ADANIENT, ZEEL, any stock)
Returns:
pledge_pct, pledge_change_qoq
risk_level: safe / watch / danger / critical
alert: specific warning message
historical: last 4 quarters of pledge data
Inputs: symbol (required). Returns: result
get_sebi_alertsA
SEBI enforcement order tracker โ early warning before regulatory crash.
Fetches recent SEBI orders and classifies by severity and sector. High-severity actions (fraud, manipulation, debarment) historically precede 15-30% corrections in the affected stock.
"SEBI filed 3 orders against this sector this week โ historically precedes 15% correction"
Args: sector: Filter by sector (e.g. "Banking", "SME/Micro", "Broking"). Use "all" for full report.
Inputs: sector. Returns: result
get_sector_peer_contextB
Sector and peer context for a stock.
Shows:
likely peer basket
peer rank
valuation vs peers
sector performance context
Args: symbol: NSE symbol (e.g. RELIANCE, HDFCBANK, INFY)
Inputs: symbol (required). Returns: result
get_signal_accuracyA
Show how accurate FinStack signals have been โ backed by real outcome data.
Signals are logged automatically every time get_stock_brief or get_stock_debate runs. After 7 days, the actual stock price is checked and outcomes are labelled correct / wrong / neutral.
Use this to:
Prove to users/investors that the signals work
Find which signal source (brief vs debate) is more accurate
Find which stocks the model reads best
Args: source: filter by source โ 'brief', 'debate', 'score', or '' for all symbol: filter by NSE symbol, or '' for all stocks days: look-back window in days (default 30)
Returns: Accuracy %, avg 7-day return, breakdown by signal type, top symbols.
Inputs: days, source, symbol. Returns: result
get_signal_historyA
View recent signals logged by FinStack with their actual outcomes.
Each row shows: symbol, signal (BUY/HOLD/SELL), price at signal time, 7-day actual return, and outcome label (correct/wrong/neutral).
Use this to audit the model, build trust with users, or export for analysis.
Args: symbol: NSE symbol to filter (e.g. RELIANCE), or '' for all limit: number of rows to return (default 20, max 100)
Inputs: limit, symbol. Returns: result
get_social_sentimentA
Analyze social media sentiment for any NSE stock using Reddit + Twitter.
Scrapes up to limit posts from r/IndiaInvestments, r/DalalStreetTalks,
and Twitter/X, classifies each as bullish/bearish/neutral, extracts key
themes, and returns a BUY/HOLD/SELL signal with confidence level.
Falls back to yFinance news headlines if social APIs are not configured.
Args: symbol: NSE stock symbol (e.g. RELIANCE, TCS, INFY) limit: Max posts to analyze (default 100, max 200)
Returns JSON with: - bullish_pct / bearish_pct / neutral_pct - signal (BUY / HOLD / SELL) - confidence (low / medium / high) - key_themes: top recurring topics in the posts - summary: single-line readable summary - sample_posts: top 5 posts with sentiment tag
Setup (optional, for real social data): pip install praw tweepy REDDIT_CLIENT_ID=... REDDIT_CLIENT_SECRET=... TWITTER_BEARER_TOKEN=...
Inputs: symbol (required), limit. Returns: result
get_stock_briefA
Multi-agent AI stock brief: 6 personas debate whether to BUY, HOLD, or SELL.
Like a Rs500Cr fund meeting, 6 different experts analyse the same stock from their angle and reach a consensus using real Indian market data:
FII Desk: institutional flows, promoter holding, FII %
Algo Trader: RSI, MACD, VWAP, volume anomaly
Value Investor: P/E, ROE, debt ratio, credit rating
Retail Pulse: news tone, 52W position, India VIX
Macro Analyst: RBI rates, CPI inflation, G-Sec yields
Options Flow: PCR, max pain, OI skew
Args: symbol: NSE stock symbol (e.g. RELIANCE, TCS, HDFCBANK)
Returns JSON with: - consensus: {signal, strength, votes, disagreement} - debate: [{agent, verdict, argument, one_liner}] - the 6-way debate - agents_detail: full data + reasoning per agent
Inputs: symbol (required). Returns: result
get_stock_debateA
3-round sequential debate: AI agents read each other's arguments and rebut.
Unlike get_stock_brief (parallel analysis), this runs a live debate: Round 1 - Each agent analyses independently Round 2 - Each agent reads all other Round 1 verdicts and can change mind Round 3 - Final lock-in with closing statement
Watch for "minds_changed" - when agents flip verdict mid-debate, it signals a complex setup worth closer attention.
Also returns "debate_edges" - who influenced whom - consumable by the AgentBattle canvas visualisation.
Args: symbol: NSE stock symbol (e.g. RELIANCE, TCS, HDFCBANK)
Returns JSON with: - rounds: {round1, round2, round3} - full transcript - debate_edges: [{from, to, type, text}] - influence graph - minds_changed: how many agents revised their verdict - final_consensus: {signal, strength, votes, note}
Inputs: symbol (required). Returns: result
get_stock_signal_scoreB
Automation-friendly stock ranking score built from FinStack signals.
Combines:
multi-agent consensus
smart money activity
social sentiment
promoter pledge risk
insider signal
technical momentum
peer / sector context
earnings setup
Returns:
signal_score: 0-100
signal: BUY / HOLD / SELL
automation_rank
top_supports / top_risks
full component breakdown
Inputs: symbol (required). Returns: result
get_stock_timelineA
Unified stock timeline: news, results, insider, bulk deals, sentiment, pledge, smart money.
This is the "what changed recently?" tool for a stock.
Args: symbol: NSE symbol (e.g. RELIANCE, HDFCBANK, TCS) max_events: max timeline events to return
Inputs: symbol (required), max_events. Returns: result
get_telegram_trackerA
Dalal Street Telegram signal tracker.
Compares 50 public Indian stock tip channels by accuracy %, average return %, and pump-and-dump probability.
"I tracked 50 Indian stock tip channels for 30 days โ here's which ones are scamming you"
Works out of the box with curated channel database. Enable live tracking with: pip install telethon + TELEGRAM_API_ID/HASH/PHONE
Args: channel: Specific channel handle (e.g. "@NSEBSEtips"). Leave empty for full comparison database.
Inputs: channel. Returns: result
gift_niftyA
GIFT Nifty pre-market data + overnight global indices for Indian market preview.
Bloomberg charges for global futures data. This is free.
Provides:
Nifty 50 last close and change
Global indices overnight performance (S&P 500, Dow, NASDAQ, Hang Seng)
Market status from NSE
Links to live GIFT Nifty sources
Examples: gift_nifty() โ Pre-market global sentiment + Nifty reference
Inputs: no named parameters. Returns: result
icici_candlesA
Historical OHLCV candles from ICICI Breeze API.
interval options: 1m, 5m, 30m, 1h, 1d
Args: symbol: NSE symbol (e.g. RELIANCE) interval: Candle interval (default: 1day) days: Number of days of history (default: 30)
Inputs: symbol (required), days, interval. Returns: result
icici_live_quoteA
Real-time NSE quote via ICICI Breeze API (zero delay when configured).
Returns LTP, O/H/L, previous close, volume, change%.
Setup: pip install breeze-connect ICICI_API_KEY=... ICICI_API_SECRET=... ICICI_SESSION_TOKEN=... Session token refreshed daily: ICICIdirect app โ My Account โ Generate API Session
Args: symbol: NSE symbol (e.g. RELIANCE, TCS, HDFCBANK)
Inputs: symbol (required). Returns: result
icici_statusA
Check ICICI Breeze API configuration status and daily session token instructions.
Inputs: no named parameters. Returns: result
income_statementA
Get income statement (Profit & Loss) for a company.
Returns revenue, COGS, gross profit, operating income, net income, EPS, EBITDA, and other P&L line items.
Works for both Indian (NSE/BSE) and US stocks.
Args: symbol: Stock ticker (e.g., RELIANCE, TCS, AAPL, MSFT) quarterly: If True, returns quarterly data. If False (default), annual data.
Examples: income_statement("RELIANCE") โ Reliance annual P&L (last 4 years) income_statement("TCS", quarterly=True) โ TCS quarterly P&L income_statement("AAPL") โ Apple annual P&L
Inputs: symbol (required), quarterly. Returns: result
india_gsec_yieldsB
India Government Securities (G-Sec) yield curve: 91-day T-bill to 30-year bond.
Bloomberg Terminal charges $31,980/year for government bond data. RBI and CCIL publish India G-Sec yields free.
Provides:
91-day, 182-day, 364-day T-bill yields
5-year, 10-year, 30-year G-Sec yields
Real interest rate (World Bank)
Live data source links (CCIL, RBI)
Examples: india_gsec_yields() โ Current India government bond yield curve
Inputs: no named parameters. Returns: result
india_macro_indicatorsB
India macroeconomic indicators: CPI inflation, GDP growth, current account, unemployment.
Bloomberg and Refinitiv charge $24,000โ$32,000/year for macro data access. World Bank publishes India macro data free โ we surface it here.
Provides:
CPI inflation (latest and previous year)
GDP growth rate
Current account balance as % of GDP
Unemployment rate
Gross capital formation
RBI inflation target and tolerance band
Examples: india_macro_indicators() โ Latest India macro data from World Bank
Inputs: no named parameters. Returns: result
india_vixA
India VIX โ the NSE fear/volatility index with history and signal.
Trendlyne charges for historical India VIX data. NSE publishes it free via ^INDIAVIX.
Provides:
Current VIX level and daily change
Signal: low fear / elevated / panic zone
30-day high, low, average
Full daily history for the requested period
Interpretation guide (what VIX levels mean for markets)
Args: days: Lookback period in days (default 30)
Examples: india_vix() โ Current India VIX with signal and 30-day history india_vix(90) โ 90-day VIX history for trend analysis
Inputs: days. Returns: result
ipo_calendarA
Get upcoming and recent IPOs on NSE.
Shows company name, price band, dates, issue size, and status.
No arguments needed.
Examples: ipo_calendar() โ What IPOs are coming up?
Inputs: no named parameters. Returns: result
key_ratiosA
Get key financial ratios and valuation metrics for a company.
Returns comprehensive metrics organized into categories:
Valuation: P/E, P/B, EV/EBITDA, PEG ratio, price-to-sales
Profitability: ROE, ROA, profit margin, operating margin, gross margin
Growth: Revenue growth, earnings growth
Financial Health: Debt/equity, current ratio, quick ratio, free cash flow
Per Share: EPS, book value, revenue per share
Dividend: Yield, payout ratio, ex-dividend date
Works for both Indian and US stocks.
Args: symbol: Stock ticker (e.g., RELIANCE, TCS, AAPL, MSFT)
Examples: key_ratios("RELIANCE") โ Reliance complete ratio analysis key_ratios("AAPL") โ Apple valuation & financial metrics key_ratios("HDFCBANK") โ HDFC Bank financial health check
Inputs: symbol (required). Returns: result
live_quoteA
Real-time NSE quote via Angel One SmartAPI โ zero delay, no yfinance lag.
Requires Angel One API credentials in your .env file (stays local, never on GitHub). Falls back gracefully if not configured, with setup instructions.
Zerodha Kite Connect charges โน500/month for real-time data API. Angel One SmartAPI is free for account holders.
Provides (when configured):
Live Last Traded Price (LTP) โ real-time, zero delay
OHLC for the day
Volume, average price
Upper/lower circuit limits
Buy/sell quantity
52-week high/low
Setup (one-time): Add to .env: ANGEL_API_KEY, ANGEL_CLIENT_ID, ANGEL_PASSWORD, ANGEL_TOTP_SECRET pip install finstack-mcp[broker]
Args: symbol: NSE symbol (e.g., RELIANCE, TCS, NIFTY, BANKNIFTY)
Examples: live_quote("RELIANCE") โ Real-time Reliance price (if Angel One configured) live_quote("NIFTY") โ Live Nifty index price
Inputs: symbol (required). Returns: result
market_depthA
Level 2 order book depth โ top 5 bid/ask prices and quantities.
This is exchange-licensed real-time data. Zerodha Kite Connect charges โน500/month for this. Angel One SmartAPI provides it free to account holders.
Requires Angel One API credentials in .env (stays local, never on GitHub).
Provides (when configured):
Top 5 buy orders (bid price + quantity)
Top 5 sell orders (ask price + quantity)
Total buy and sell queue size
Args: symbol: NSE symbol (e.g., RELIANCE, TCS, HDFCBANK)
Examples: market_depth("RELIANCE") โ Live order book for Reliance
Inputs: symbol (required). Returns: result
market_newsA
Get latest market news for a stock or general market.
Returns up to 10 recent news articles with title, publisher, and link.
Args: symbol: Stock ticker for company-specific news (optional). Leave empty for general market news.
Examples: market_news("AAPL") โ Apple-related news market_news("RELIANCE.NS") โ Reliance Industries news market_news() โ General market news
Inputs: symbol. Returns: result
nifty_indexA
Get current value of Indian market indices.
Returns the current value, change, change %, day's high/low, and 52-week range for the specified index.
Args: index_name: Index name. Options: - NIFTY50 (or NIFTY) - Nifty 50 index - SENSEX - BSE Sensex - BANKNIFTY - Nifty Bank index - NIFTYIT - Nifty IT index - NIFTYPHARMA - Nifty Pharma index - ALL - Get all major indices at once
Examples: nifty_index("NIFTY50") โ Current Nifty 50 value nifty_index("SENSEX") โ Current Sensex value nifty_index("ALL") โ All major indices
Inputs: index_name. Returns: result
nifty_pcr_trendA
Nifty PCR (Put-Call Ratio) trend across multiple expiries โ market sentiment gauge.
Sensibull Pro charges โน1,300/month for PCR trend data. We calculate it free.
Provides:
PCR (OI-based and Volume-based) per expiry
Overall averaged PCR with sentiment signal
Bullish / Bearish / Neutral interpretation per expiry
Total call and put OI per expiry
Args: num_expiries: Number of expiries to analyze (default 5)
Examples: nifty_pcr_trend() โ Nifty PCR across 5 expiries with overall sentiment nifty_pcr_trend(3) โ Quick 3-expiry PCR snapshot
Inputs: num_expiries. Returns: result
nse_52week_scannerA
Scan Nifty 50 stocks near their 52-week high or low.
This is the most popular scan on Screener.in โ stocks breaking out near 52-week highs are momentum candidates; those near 52-week lows may be value opportunities or falling knives.
Args: scan_type: "near_high" โ stocks within threshold% of 52w high (default) "near_low" โ stocks within threshold% of 52w low "both" โ return both lists threshold_pct: Closeness threshold in % (default 5.0 = within 5% of extreme)
Examples: nse_52week_scanner("near_high", 5) โ Stocks near all-time high area nse_52week_scanner("near_low", 10) โ Stocks near 52-week low nse_52week_scanner("both", 3) โ Very tight near both extremes
Inputs: scan_type, threshold_pct. Returns: result
nse_bulk_dealsA
Get recent bulk and block deals on NSE.
Shows large transactions where quantity traded exceeds 0.5% of total shares. Useful for tracking institutional activity.
No arguments needed.
Examples: nse_bulk_deals() โ Recent bulk/block deals
Inputs: no named parameters. Returns: result
nse_circuit_breakersA
Scan NSE stocks currently hitting upper or lower circuit limits.
Checks Nifty 500 stocks where the current price is frozen at the intraday high (upper circuit) or intraday low (lower circuit).
Args: circuit_type: "upper" (locked at high), "lower" (locked at low), or "both" (default)
Examples: nse_circuit_breakers("upper") โ Stocks hitting upper circuit today nse_circuit_breakers("lower") โ Stocks hitting lower circuit today nse_circuit_breakers("both") โ All circuit-locked stocks
Inputs: circuit_type. Returns: result
nse_corporate_actionsB
Get corporate actions for an NSE stock โ dividends, stock splits, bonuses.
Shows recent and historical corporate actions with dates and values.
Args: symbol: NSE stock symbol (e.g., ITC, RELIANCE, TCS, COALINDIA)
Examples: nse_corporate_actions("ITC") โ ITC dividends and splits nse_corporate_actions("RELIANCE") โ Reliance corporate actions
Inputs: symbol (required). Returns: result
nse_fii_dii_dataA
Get FII (Foreign Institutional Investor) and DII (Domestic Institutional Investor) activity data.
Shows how much foreign and domestic institutions bought/sold today. FII net buy = bullish signal. DII net buy = domestic accumulation.
No arguments needed.
Examples: nse_fii_dii_data() โ Today's FII/DII activity
Inputs: no named parameters. Returns: result
nse_historicalA
Get historical price data (OHLCV) for an NSE stock.
Returns open, high, low, close, volume data for the specified period. Also includes summary stats: period return %, high, low, avg volume.
Args: symbol: NSE stock symbol (e.g., RELIANCE, TCS, INFY) period: Time period. Options: 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max interval: Data interval. Options: 1m, 5m, 15m, 30m, 1h, 1d, 5d, 1wk, 1mo Note: 1m data only available for last 7 days
Examples: nse_historical("RELIANCE", "1mo", "1d") โ 1 month daily data nse_historical("TCS", "1y", "1wk") โ 1 year weekly data nse_historical("INFY", "5y", "1mo") โ 5 year monthly data nse_historical("SBIN", "5d", "15m") โ 5 day intraday (15min candles)
Inputs: symbol (required), period, interval. Returns: result
nse_insider_tradingA
NSE insider trading and SAST (substantial acquisition) disclosures for a stock.
Covers features Trendlyne (โน4,950/yr) and Screener Pro (โน4,999/yr) charge for โ free here.
Shows:
All SEBI-mandated insider trading disclosures from NSE
Buy vs sell transaction count
Insider sentiment summary
Acquirer/seller name, shares traded, dates
Args: symbol: NSE stock symbol (e.g., RELIANCE, TCS, INFY, HDFCBANK) days: Lookback period in days (default 90, max ~365)
Examples: nse_insider_trading("RELIANCE") โ Last 90 days insider activity for Reliance nse_insider_trading("TCS", 180) โ Last 6 months insider trades for TCS
Inputs: symbol (required), days. Returns: result
nse_market_statusA
Check if the Indian stock market (NSE/BSE) is currently open or closed.
Returns market status (OPEN, CLOSED, PRE_OPEN, POST_CLOSE), trading hours, and current IST time.
No arguments needed.
Examples: nse_market_status() โ Shows if market is open right now
Inputs: no named parameters. Returns: result
nse_options_chainA
Get options chain data for an NSE stock or index. [PRO]
Returns call and put options with strike price, premium, volume, open interest, implied volatility, and Put-Call Ratio (PCR).
Args: symbol: NSE stock or index symbol (e.g., RELIANCE, NIFTY, BANKNIFTY, TCS)
Examples: nse_options_chain("RELIANCE") โ Reliance options chain nse_options_chain("NIFTY") โ Nifty 50 options chain nse_options_chain("BANKNIFTY") โ Bank Nifty options
Inputs: symbol (required). Returns: result
nse_quarterly_resultsA
Get latest quarterly financial results for an NSE stock.
Shows revenue, profit, EPS, EBITDA for last 4 quarters with quarter-over-quarter growth rates.
Args: symbol: NSE stock symbol (e.g., RELIANCE, TCS, INFY, HDFCBANK)
Examples: nse_quarterly_results("RELIANCE") โ Reliance Q results nse_quarterly_results("TCS") โ TCS quarterly financials
Inputs: symbol (required). Returns: result
nse_quoteA
Get real-time NSE (National Stock Exchange) quote for an Indian stock.
Returns current price, change, volume, market cap, P/E ratio, 52-week range, sector, and more.
Args: symbol: NSE stock symbol (e.g., RELIANCE, TCS, INFY, HDFCBANK, SBIN, ITC)
Examples: nse_quote("RELIANCE") โ Reliance Industries live price & stats nse_quote("TCS") โ TCS live price & stats nse_quote("HDFCBANK") โ HDFC Bank live price & stats
Inputs: symbol (required). Returns: result
nse_top_moversA
Get today's top performing stocks on NSE.
Returns the top 10 stocks by the specified criteria from Nifty 50 components.
Args: mover_type: Type of movers to fetch. Options: - gainers: Top 10 stocks with highest % gain today - losers: Top 10 stocks with highest % loss today - active: Top 10 stocks by trading volume
Examples: nse_top_movers("gainers") โ Today's top gainers nse_top_movers("losers") โ Today's top losers nse_top_movers("active") โ Most actively traded stocks
Inputs: mover_type. Returns: result
options_greeksA
Calculate Black-Scholes Greeks (Delta, Gamma, Theta, Vega, Rho) for all option strikes.
Covers features Sensibull Pro charges โน1,300/month for โ free here.
Provides:
Delta: price sensitivity to underlying move
Gamma: rate of change of delta (acceleration)
Theta: daily time decay (what options lose per day)
Vega: sensitivity to 1% change in implied volatility
Rho: sensitivity to 1% change in interest rate
Full chain with Greeks for both calls and puts
Args: symbol: NSE stock or index symbol (e.g., NIFTY, RELIANCE, INFY) expiry: Optional expiry date string YYYY-MM-DD (uses nearest if not provided)
Examples: options_greeks("NIFTY") โ Full Greeks for nearest Nifty expiry options_greeks("RELIANCE", "2025-04-24") โ Greeks for specific expiry
Inputs: symbol (required), expiry. Returns: result
options_oi_analyticsA
Advanced options OI analytics: Max Pain, PCR trend, IV summary, top OI strikes.
Covers features Sensibull Pro charges โน1,300/month for โ free here.
Provides:
Put-Call Ratio (OI and Volume) with sentiment signal
Max Pain calculation (price gravity at expiry)
Top call OI strikes (resistance levels from options market)
Top put OI strikes (support levels from options market)
Average IV across expiry
Analysis for 3 nearest expiries
Args: symbol: NSE stock or index symbol (e.g., NIFTY, BANKNIFTY, RELIANCE, TCS)
Examples: options_oi_analytics("NIFTY") โ Nifty OI analytics, Max Pain, PCR options_oi_analytics("RELIANCE") โ Reliance OI analysis options_oi_analytics("BANKNIFTY") โ Bank Nifty options sentiment
Inputs: symbol (required). Returns: result
portfolio_analysisA
Analyze a stock portfolio โ P&L, weights, risk. [PRO]
Provide your holdings and get total P&L, individual stock performance, portfolio weights, concentration risk, winners and losers.
Args: holdings: JSON string of holdings array. Each holding needs: symbol, quantity, buy_price. Example: '[{"symbol":"RELIANCE","quantity":10,"buy_price":2500}, {"symbol":"TCS","quantity":5,"buy_price":3800}]'
Examples: portfolio_analysis('[{"symbol":"RELIANCE","quantity":10,"buy_price":2500}]') portfolio_analysis('[{"symbol":"AAPL","quantity":5,"buy_price":150}, {"symbol":"MSFT","quantity":3,"buy_price":380}]')
Inputs: holdings (required). Returns: result
predict_circuitA
Predict lower circuit risk for an NSE stock.
Combines 5 signals: price proximity to 52W low, volume dry-up, promoter pledge velocity, FII net selling, negative news sentiment.
Risk levels: safe / watch / danger / imminent
"Predicted 4 lower circuits in March โ here's how"
Args: symbol: NSE symbol (most useful for mid/small caps under stress)
Inputs: symbol (required). Returns: result
predict_earningsA
AI earnings preview before quarterly results.
Combines 4 signals to estimate beat/miss probability:
Last 4 quarters EPS trend (improving / declining / mixed)
Analyst consensus recommendation + target price upside
FII QoQ shareholding change (building before results = positive)
Stock alpha vs Nifty last 30 days (momentum into results)
Returns:
beat_probability_pct: e.g. 72
signal: BEAT LIKELY / SLIGHT BEAT / IN-LINE OR MISS / MISS LIKELY
key_risks: list of red flags
what_to_watch: what to monitor on results day
next_earnings_date: from yFinance calendar
Viral use: post prediction before TCS/Infy results. Screenshot if correct.
Args: symbol: NSE symbol (e.g. TCS, INFY, HDFCBANK, RELIANCE)
Inputs: symbol (required). Returns: result
promoter_pledgeA
Promoter pledge percentage โ how much of promoter holding is pledged as loan collateral.
Screener.in Pro (โน4,999/yr) charges for this data. NSE publishes it free.
High pledge = risk signal: if the stock falls, lenders can force-sell pledged shares, causing further decline. A key red flag before investing.
Provides:
Promoter pledge % of total shares
Pledge % of promoter holding
Risk signal (clean / low / moderate / HIGH RISK)
Quarter-wise breakdown
Args: symbol: NSE stock symbol (e.g., RELIANCE, TCS, ADANIENT)
Examples: promoter_pledge("ADANIENT") โ Adani pledge levels and risk signal promoter_pledge("RELIANCE") โ Reliance promoter pledge status
Inputs: symbol (required). Returns: result
rbi_policy_ratesA
Current RBI monetary policy rates: Repo, Reverse Repo, CRR, SLR, MSF, Bank Rate.
Bloomberg Terminal charges $31,980/year for central bank data access. RBI publishes all policy rates free on rbi.org.in โ we surface them here.
Provides:
Repo rate (current RBI lending rate to banks)
Reverse repo rate
Marginal Standing Facility (MSF) rate
Cash Reserve Ratio (CRR)
Statutory Liquidity Ratio (SLR)
Bank Rate
Monetary policy stance
Last policy action summary
Examples: rbi_policy_rates() โ All current RBI policy rates and stance
Inputs: no named parameters. Returns: result
scan_pledge_risksA
Scan multiple NSE stocks for promoter pledge risk simultaneously.
Returns results sorted by risk level (critical first). Useful for screening your watchlist or Nifty 500 for pledge dangers.
Args: symbols: list of NSE symbols (e.g. ["ADANIENT", "ZEEL", "RELIANCE", "TCS"])
Inputs: symbols (required). Returns: result
scan_watchlistA
Batch-rank a watchlist using FinStack's multi-factor stock signal score.
Best use:
daily watchlist triage
n8n / WhatsApp automation
finding top buys and top risks in one shot
Args: symbols: list of NSE symbols (e.g. ["RELIANCE", "TCS", "HDFCBANK", "INFY"])
Returns:
ranked_watchlist: sorted by signal_score
top_buys
top_risks
Inputs: symbols (required). Returns: result
sec_filingA
Get SEC filings for a US-listed company.
Returns links to actual filing documents on SEC EDGAR.
Args: symbol: US stock ticker (e.g., AAPL, MSFT, GOOGL) filing_type: Type of filing. Options: - 10-K: Annual report - 10-Q: Quarterly report - 8-K: Current events report - ALL: All filing types count: Number of filings to return (default: 5, max: 20)
Examples: sec_filing("AAPL", "10-K") โ Apple annual reports sec_filing("TSLA", "10-Q", 3) โ Tesla last 3 quarterly reports sec_filing("MSFT", "ALL", 10) โ Microsoft all recent filings
Inputs: symbol (required), count, filing_type. Returns: result
sec_filing_searchA
Search SEC EDGAR for a company and get their filing page.
Returns company info (CIK number) and link to their SEC filings page. Use sec_filing() to get specific filing documents.
Args: symbol: US stock ticker (e.g., AAPL, MSFT, GOOGL)
Examples: sec_filing_search("AAPL") โ Find Apple on SEC EDGAR sec_filing_search("NVDA") โ Find NVIDIA on SEC EDGAR
Inputs: symbol (required). Returns: result
sector_performanceA
Get performance of Nifty sectoral indices.
Shows how different sectors (Banking, IT, Pharma, FMCG, Auto, Metal, Realty, Energy) performed today, with best and worst performers highlighted.
No arguments needed.
Examples: sector_performance() โ Which sectors are up/down today?
Inputs: no named parameters. Returns: result
sensex_componentsA
Get the list of stocks in Nifty 50 or Sensex with live prices.
Returns all constituent stocks with current price, % change today, market cap, plus top 5 gainers and losers within the index.
Args: index_name: "nifty50" (default) or "sensex"
Examples: sensex_components("nifty50") โ All 50 Nifty stocks with live prices sensex_components("sensex") โ All 30 Sensex stocks with live prices
Inputs: index_name. Returns: result
stock_historicalA
Get historical price data for any global stock.
Returns OHLCV data with summary stats.
Args: symbol: Stock ticker (e.g., AAPL, MSFT, TSLA) period: 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max interval: 1m, 5m, 15m, 30m, 1h, 1d, 5d, 1wk, 1mo
Examples: stock_historical("AAPL", "1y", "1d") โ Apple 1 year daily stock_historical("TSLA", "3mo", "1wk") โ Tesla 3 month weekly
Inputs: symbol (required), period, interval. Returns: result
stock_quoteA
Get real-time stock quote for any global stock.
Works for US, UK, European, Asian, and Indian stocks. Returns price, change, volume, market cap, P/E, sector, country, and more.
Args: symbol: Stock ticker symbol. Formats: - US stocks: AAPL, MSFT, GOOGL, TSLA, AMZN - UK stocks: HSBA.L, BP.L, VOD.L - Japan: 7203.T (Toyota), 6758.T (Sony) - Hong Kong: 0700.HK (Tencent) - India: RELIANCE.NS, TCS.NS (use nse_quote for Indian stocks)
Examples: stock_quote("AAPL") โ Apple live price stock_quote("MSFT") โ Microsoft live price stock_quote("TSLA") โ Tesla live price
Inputs: symbol (required). Returns: result
stock_screenerA
Screen stocks by multiple financial criteria. [PRO]
Filter Nifty 50 or S&P 500 stocks by P/E ratio, ROE, market cap, dividend yield, debt/equity ratio, and sector.
Args: exchange: "NSE" for Indian stocks, "US" for US stocks (default: NSE) pe_max: Maximum P/E ratio (e.g., 15 for value stocks). 0 = no filter. pe_min: Minimum P/E ratio. 0 = no filter. roe_min: Minimum Return on Equity in % (e.g., 20). 0 = no filter. market_cap_min: Minimum market cap in USD (e.g., 1000000000 for $1B). 0 = no filter. dividend_yield_min: Minimum dividend yield in % (e.g., 2). 0 = no filter. debt_equity_max: Maximum debt-to-equity ratio (e.g., 50). 0 = no filter. sector: Filter by sector name (e.g., "Technology", "Financial"). Empty = all. limit: Max number of results (default: 15)
Examples: stock_screener("NSE", pe_max=15, roe_min=20) โ Value stocks with high ROE stock_screener("NSE", dividend_yield_min=3) โ High dividend yield stocks stock_screener("US", pe_max=20, sector="Technology") โ Cheap US tech stocks
Inputs: limit, pe_max, pe_min, sector, +5 more. Returns: result
support_resistanceA
Compute support and resistance levels for a stock. [PRO]
Calculates pivot points (R1, R2, R3, S1, S2, S3) and identifies key price levels from historical price action.
Args: symbol: Stock ticker (e.g., RELIANCE, AAPL, TCS) period: Data period: 3mo, 6mo, 1y, 2y (default: 6mo)
Examples: support_resistance("RELIANCE") โ Key levels for Reliance support_resistance("AAPL", "1y") โ Apple support/resistance with 1yr data
Inputs: symbol (required), period. Returns: result
technical_indicatorsA
Compute technical indicators for a stock with buy/sell signals.
Calculates RSI, MACD, SMA (20/50/200), EMA, Bollinger Bands, ATR, Stochastic, ADX, OBV โ all computed locally, no API cost.
Works for Indian (NSE/BSE) and US stocks.
Args: symbol: Stock ticker (e.g., RELIANCE, TCS, AAPL, TSLA) period: Data period for calculation: 3mo, 6mo, 1y, 2y (default: 6mo) indicators: Comma-separated list of specific indicators. Options: RSI, MACD, SMA, EMA, BBANDS, ATR, STOCH, ADX, OBV Leave empty for ALL indicators.
Examples: technical_indicators("RELIANCE") โ All indicators for Reliance technical_indicators("AAPL", "1y") โ Apple with 1 year data technical_indicators("TCS", "6mo", "RSI,MACD,SMA") โ Only RSI, MACD, SMA
Inputs: symbol (required), period, indicators. Returns: result
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 95 tools
The set contains many near-duplicates: multiple quote tools (nse_quote, bse_quote, stock_quote, live_quote, fyers_live_quote, icici_live_quote), several NSE historical candle tools (nse_historical, fyers_candles, icici_candles), two portfolio analyzers (portfolio_analysis, analyze_portfolio), and overlapping insider/sentiment signals. Agents would frequently misselect without reading fine print about data sources and latency.
Naming has no single pattern: some tools are noun phrases (nse_market_status, ipo_calendar, india_gsec_yields), many are verb_noun (calculate_tax_liability, scan_pledge_risks, predict_earnings), and one has a strange _tool suffix (compare_stocks_tool). Similar functions use inconsistent prefixes (nse_, stock_, crypto_, fyers_, icici_) rather than a cohesive convention.
95 tools is an extreme count for any server, far beyond the reasonable 3-15 tool range. The massive surface creates huge selection overhead and indicates the server tries to do everything rather than being well-scoped.
Domain coverage is extensive: quotes, historical data, fundamentals, ratios, options, mutual funds, macro, portfolio analysis, tax, and regulatory filings are all present. Minor gaps exist (no futures/commodities, no stock search by name, no broad global index coverage), but core finance workflows are well covered.
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