FinStack MCP
Overview
Description from the maker (original English)
India-first MCP server for NSE/BSE, fundamentals, analytics, and market research workflows.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 51/wk · ★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Marketing & social media
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- PyPIPython’s uv installed (for the uvx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"finstack": {
"command": "uvx",
"args": [
"finstack-mcp"
]
}
}
}Run this in your terminal
claude mcp add finstack -- uvx finstack-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"finstack": {
"command": "uvx",
"args": [
"finstack-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"finstack": {
"type": "stdio",
"command": "uvx",
"args": [
"finstack-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account finstacklabs, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Marketing & social mediai
- More stars than 0% of the other 3594 servers in this category
- Published to the registry more recently than 4% of the other 3594 servers in this category
- Basic checks equal to or better than 100% of the other 3594 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is FinStack MCP safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.3.2) reached the registry 8 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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-mcp
Or run without installing:
uvx finstack-mcp
Ask 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 scored
Demo preview
Stock brief in action
Agent battle visualization
Example outputs
Launch resources
- Proof and accuracy notes
- GitHub launch copy and positioning
- Release checklist
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) | ₹15,600 / yr | FREE |
| Morningstar (MF flows) | $17,500 / yr | FREE |
| Zerodha real-time data | ₹6,000 / yr | FREE via Angel One |
| Screener.in Pro | ₹4,999 / yr | FREE |
| Trendlyne Pro | ₹4,950 / yr | FREE |
Install + connect (2 minutes)
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
{
"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 · 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
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_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_scoreis a ranking layer for triage, screening, and automationevaluate_signal_qualityis 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, anddecision-support
Comparison vs Indian market tools
| Feature | finstack-mcp | Screener.in | Tickertape | Sensibull | Trendlyne | TradingView |
|---|---|---|---|---|---|---|
| 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 | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| Price | Free | ₹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
Only the beginning is shown; read the rest in the repo