FinStack MCP

io.github.finstacklabsPublished by GitHub account finstacklabsv0.3.2Updated Oct 24, 2026

India-first MCP server for NSE/BSE, fundamentals, analytics, and market research workflows.

Overview

AI-generated overview

Gives an assistant 95 tools for Indian and global market data, stock research, options analytics, and portfolio risk analysis.

What you can do
FinStack MCP exposes roughly 95 tools across ten categories: NSE/BSE quotes and history, indices, FII/DII flows, bulk and block deals, mutual fund NAV, corporate actions and IPO calendars; fundamentals and ratios for Indian and US companies; full NSE options chains with PCR, open interest, max pain and Black-Scholes Greeks; India VIX, GIFT Nifty, insider filings, RBI rates and macro data; crypto, forex and SEC filings. It also adds research-style tools such as multi-agent stock debate with a BUY/HOLD/SELL consensus, social sentiment from StockTwits and Reddit, unusual-activity detection, Nifty direction probability, F&O trade setups, watchlist ranking, portfolio P&L and XIRR analysis…
When to use it
Use it when an assistant needs Indian equity or derivatives research, screening, or portfolio risk checks inside an MCP client, or when you want market data, sentiment and options analytics combined in one server instead of several subscriptions. It is aimed at decision support and research triage rather than guaranteed prediction.
Requirements
Runs locally over stdio as a Python package (pip install finstack-mcp, or uvx finstack-mcp without installing); desktop MCP clients only. Most data sources need no key. Optional zero-delay broker data requires installing the broker extra and setting ANGEL_API_KEY, ANGEL_CLIENT_ID, ANGEL_PASSWORD and ANGEL_TOTP_SECRET (Fyers, ICICI Breeze, Dhan and Upstox also supported). Network access is required.
Before you install
Broker credentials, including the Angel One TOTP secret, are stored in a local .env file, so protect that file. The server is decision support, not investment advice, and its own documentation warns against presenting backtest numbers as overall accuracy. It reads public sources such as Reddit, StockTwits and SEBI filings, and some tools produce trade setups or buy/sell signals that should not be acted on without independent verification.

Installation

In SourceWeft

  1. Open FinStack MCP in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

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.

[PyPI] [License: MIT] [Python 3.10+]

bash
pip install finstack-mcp

Or run without installing:

bash
uvx finstack-mcp

Ask Claude things like:

text
"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 scored

Demo preview

Stock brief in action

[Stock Brief Demo]

Agent battle visualization

[Agent Battle Demo]

Example outputs

[Stock Brief Output]

[FII Flow Output]

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

ToolWhat you payfinstack-mcp
Bloomberg Terminal$31,980 / yrFREE
Bloomberg ESG + Credit$24,000 / yrFREE
Sensibull (Options Greeks)₹15,600 / yrFREE
Morningstar (MF flows)$17,500 / yrFREE
Zerodha real-time data₹6,000 / yrFREE via Angel One
Screener.in Pro₹4,999 / yrFREE
Trendlyne Pro₹4,950 / yrFREE

Install + connect (2 minutes)

bash
pip install finstack-mcp

Claude Desktop

Add to claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

json
{  "mcpServers": {    "finstack": {      "command": "python",      "args": ["-m", "finstack.server"]    }  }}

Restart Claude Desktop. Done.

Cursor / Windsurf / Cline

json
{  "mcpServers": {    "finstack": {      "command": "python",      "args": ["-m", "finstack.server"]    }  }}

Add to your IDE's MCP config file and reload.

uvx (no install needed)

json
{  "mcpServers": {    "finstack": {      "command": "uvx",      "args": ["finstack-mcp"]    }  }}

Works with: Claude Desktop · Cursor · Windsurf · Cline · Continue.dev · Zed · Jan.ai · LibreChat · 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 search and fetch if you want broader compatibility with OpenAI connector flows.
  • Keep FinStack-specific tools like get_stock_brief, get_stock_debate, get_social_sentiment, and analyze_portfolio as 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_brief — 6 AI agents debate any stock → BUY/HOLD/SELL consensus
  • get_stock_debate — 3-round sequential agent debate with rebuttals and emergent consensus
  • get_social_sentiment — StockTwits + Reddit + ET RSS → sentiment signal
  • detect_unusual_activity — OI buildup + block deals + promoter change + volume spike
  • get_nifty_outlook — 6-signal probability model for next session direction
  • get_fno_trade_setup — NIFTY / BANKNIFTY options call: BUY_CE, BUY_PE, or NO_TRADE with ATM strike guidance
  • predict_earnings — beat/miss probability before quarterly results
  • get_fii_retail_divergence — highest-conviction Indian market signal
  • get_morning_fno_brief — daily NIFTY/BANKNIFTY F&O brief with approval-ready setup summary

Research & Ranking

  • scan_watchlist — batch-rank a watchlist so automation can surface top buys and top risks
  • get_stock_signal_score — automation-friendly score with factor impacts, supports, and risks
  • get_stock_timeline — one feed for news, results, insider, bulk deals, sentiment, pledge, and smart money
  • get_sector_peer_context — sector strength plus peer rank / valuation context
  • evaluate_signal_quality — honest proof layer for the price-action core before making accuracy claims

Portfolio & Risk

  • analyze_portfolio — P&L, XIRR, sector concentration, risk flags, diversification score
  • get_mf_overlap — fund overlap % from AMFI public disclosures
  • get_pledge_alert — promoter pledge early warning with QoQ velocity
  • scan_pledge_risks — batch pledge scan across your watchlist
  • predict_circuit — lower circuit risk prediction
  • detect_pump — pump-and-dump pattern detector for small/micro caps

Broker Integrations (zero-delay live data)

  • Angel One SmartAPI — live quotes, Level 2 depth, intraday candles
  • Fyers API v3 — live quotes + candles
  • ICICI Breeze — live quotes + candles
  • Dhan SmartAPI — live quotes + candles
  • Upstox API v2 — 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_alerts — SEBI enforcement order tracker (early crash warning)
  • get_morning_brief — 8:15 AM pre-market brief

Never-built-before (India-specific)

  • correlate_gst_to_stocks — GST monthly data as 1-3mo sector leading indicator
  • get_agm_brief — AGM/EGM unusual resolution detector (debt raise, salary hike, pledge approval)
  • get_insider_signal — SEBI SAST insider buy/sell pattern vs forward returns
  • get_telegram_tracker — Dalal Street tip channel accuracy + pump-and-dump scoring
  • analyze_budget_live — paste FM speech → instant sector/stock signals (Feb 1st)
  • get_budget_impact — 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 — 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 — 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_score is a ranking layer for triage, screening, and automation
  • evaluate_signal_quality is an honest proof layer for the price-action core
  • the 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, and decision-support

Comparison vs Indian market tools

Featurefinstack-mcpScreener.inTickertapeSensibullTrendlyneTradingView
AI agents debate a stock✅❌❌❌❌❌
Social sentiment (Reddit + StockTwits)✅❌❌❌❌❌
Nifty direction probability✅❌❌❌❌❌
Telegram tip channel tracker✅❌❌❌❌❌
Budget speech live analyzer✅❌❌❌❌❌
GST → sector stock predictor✅❌❌❌❌❌
Pump-and-dump detector✅❌❌❌❌❌
Promoter pledge early warning✅❌✅ paid❌✅ paid❌
Options Greeks✅ free❌❌✅ ₹1,300/mo❌✅ paid
FII/DII flows✅ free❌✅✅✅ paid❌
Fundamentals (P/E, ROE, etc.)✅ free✅ free✅❌✅✅ paid
Works inside Claude / Cursor✅❌❌❌❌❌
PriceFree₹4,999/yr₹2,800/yr₹15,600/yr₹4,950/yr$168/yr

Real-time data (optional)

Without setup: 15-minute delayed data (yfinance — free, no API key). With Angel One: zero delay, Level 2 order book, intraday candles.

bash
pip install finstack-mcp[broker]
env
ANGEL_API_KEY=your_keyANGEL_CLIENT_ID=your_client_idANGEL_PASSWORD=your_pinANGEL_TOTP_SECRET=your_totp_secret

Free account at smartapi.angelbroking.com. Your key stays local in .env — never leaves your machine.

Other brokers: Fyers, ICICI Breeze, Dhan, Upstox also supported.


Data sources

SourceCoversKey needed
yfinanceNSE/BSE/US equities, crypto, forex, historyNone
NSE direct APIFII/DII, options chain, insider trading, corporate actionsNone
BSE India APICredit ratings, ESG/BRSRNone
SEC EDGARUS filings (10-K, 10-Q, 8-K)None
CoinGeckoCrypto market dataNone
World BankIndia macro: CPI, GDP, CADNone
AMFI / mfapi.inMutual fund NAV, AUM, SIP flowsNone
StockTwitsTrader sentiment (pre-tagged bullish/bearish)None
Reddit (praw)r/IndiaInvestments + r/DalalStreetTalksOptional free
Finance MinistryMonthly GST collection dataNone
SEBI public filingsEnforcement orders, insider SAST disclosuresNone
Angel One SmartAPIReal-time NSE, Level 2 depth, intradayFree 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.json
  • Verify Python is in PATH: python --version

pip install fails

bash
python -m pip install --upgrade pippip install finstack-mcp

Angel One TOTP fails

  • TOTP secret ≠ password. Find it in Angel One app → Profile → Enable TOTP → secret key
  • Install: pip install finstack-mcp[broker]

Development

bash
git clone https://github.com/finstacklabs/finstack-mcp.gitcd finstack-mcppip install -e .[dev]pytest -q

PRs welcome. Adding a new broker: create src/finstack/data/broker_X.py and register in tools/.


Links


MIT License · finstacklabs.github.io

Source: README.md at commit e329c1a

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.3.2LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts