MCP FinanceX

A comprehensive Model Context Protocol (MCP) server for real-time stock, cryptocurrency, options trading, SEC filings, and fundamental valuation analysis. Provides tools for price quotes, historical data, technical indicators, market news, options chains, Greeks calculation, advanced options strategy analysis, insider trading tracking (Forms 3/4/5), institutional holdings (13F), ownership changes (13D/G), material events (8-K), financial statements, and DCF valuation.

Features

Stock & Crypto Analysis

• Real-time Price Quotes: Get current prices, changes, volume, and market data for stocks and cryptocurrencies
• Historical Data: Retrieve OHLCV (Open, High, Low, Close, Volume) data with multiple time intervals
• Technical Indicators: Calculate RSI, MACD, SMA, EMA, Bollinger Bands, and Stochastic oscillators
• Market News: Fetch recent news articles for specific symbols or general market news
• Symbol Search: Find ticker symbols by company name or keyword
• Batch Operations: Fetch multiple quotes efficiently in a single request
• Market Overview: Access major market indices and trending stocks
• Watchlist Management: Track favorite symbols with notes and alerts

Options Trading

• Options Chains: Complete options data with strikes, premiums, volume, open interest, and IV
• Greeks Calculator: Delta, Gamma, Theta, Vega, Rho using Black-Scholes model
• Earnings Calendar: Critical dates for volatility planning
• Dividend Information: Ex-dividend dates affecting options pricing
• Historical Volatility: Compare realized volatility with implied volatility
• Implied Volatility Analysis: IV rank, percentile, and term structure
• Max Pain Calculator: Find the pin price where most options expire worthless
• Strategy Analyzer: Analyze complex spreads, condors, butterflies with P&L charts

Real-Time & Market Intelligence (NEW!)

• Extended Hours Trading: Track pre-market (4 AM - 9:30 AM ET) and after-hours (4 PM - 8 PM ET) price movements
• Short Interest Tracker: Monitor short ratio (days to cover), short % of float, and short squeeze potential
• Analyst Ratings: Track Wall Street consensus, target prices, rating distribution, and sentiment trends
• News Impact Analysis: Correlate news events with price movements to identify significant market-moving events

SEC Filings & Institutional Analysis (NEW!)

• Insider Trading (Forms 3/4/5): Track CEO, director, and 10% owner buying/selling with real transaction details
• Institutional Holdings (13F): Monitor hedge fund and institutional investor portfolios (Berkshire, Bridgewater, etc.)
• Ownership Changes (13D/G): Track major ownership changes (5%+ stakes) and activist investor campaigns
• Material Events (8-K): Real-time corporate event notifications (M&A, earnings, management changes, cybersecurity)

Fundamental Analysis & Valuation (NEW!)

• Financial Statements: Access income statements, balance sheets, and cash flow statements
• Financial Ratios: Calculate profitability, liquidity, leverage, and efficiency ratios
• DCF Valuation: Calculate intrinsic value using Discounted Cash Flow analysis
• Sensitivity Analysis: Test valuation assumptions (WACC, terminal growth, FCF margin)
• Investment Recommendations: Strong Buy/Buy/Hold/Sell/Strong Sell based on upside/downside

Technical Features

• Smart Caching: Intelligent caching with market hours awareness to minimize API calls
• Black-Scholes Pricing: Accurate Greeks and theoretical option prices
• No API Keys Required: Free Yahoo Finance and SEC EDGAR data (respects rate limits)

Installation

Prerequisites

• Node.js (v18 or later)
• npm or yarn

Setup

1. Clone the repository:

git clone https://github.com/xerktech/mcp-financex.git
cd mcp-financex

2. Install dependencies:

npm install

3. Build the project:

npm run build

4. (Optional) Create a .env file for custom configuration:

cp .env.example .env

Usage

Running the Server

Development mode (with auto-reload):

npm run dev

Production mode:

npm start

Configuration with Claude Desktop

Add the server to your Claude Desktop configuration file:

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

Option 1: Use npx (Recommended - No Installation Required)

Once published to npm, users can run it directly without installation:

{
  "mcpServers": {
    "finance": {
      "command": "npx",
      "args": ["-y", "mcp-financex"]
    }
  }
}

Option 2: Use from GitHub (Before npm publish)

{
  "mcpServers": {
    "finance": {
      "command": "npx",
      "args": ["-y", "github:xerktech/mcp-financex"]
    }
  }
}

Option 3: Local Installation

{
  "mcpServers": {
    "finance": {
      "command": "node",
      "args": ["/path/to/mcp-financex/dist/index.js"]
    }
  }
}

Available Tools

1. get_quote

Get real-time price quote for a stock or cryptocurrency.

Input:

{
  "symbol": "AAPL",
  "fields": ["regularMarketPrice", "marketCap"]  // Optional
}

Example:

Get the current price of Apple stock (AAPL)

Output:

{
  "symbol": "AAPL",
  "regularMarketPrice": 178.50,
  "regularMarketChange": 2.35,
  "regularMarketChangePercent": 1.33,
  "regularMarketVolume": 52438900,
  "marketCap": 2800000000000,
  "currency": "USD",
  "exchangeName": "NASDAQ",
  "quoteType": "EQUITY"
}

2. get_quote_batch

Get quotes for multiple symbols efficiently.

Input:

{
  "symbols": ["AAPL", "MSFT", "BTC-USD", "GOOGL"]
}

Example:

Get current prices for Apple, Microsoft, Bitcoin, and Google

3. get_historical_data

Retrieve historical OHLCV data.

Input:

{
  "symbol": "BTC-USD",
  "period1": "1mo",
  "interval": "1d"
}

Example:

Get the last month of daily price data for Bitcoin

Supported Intervals:

• 1m, 5m, 15m, 30m - Intraday (limited history)
• 1h - Hourly
• 1d - Daily
• 1wk - Weekly
• 1mo - Monthly

4. calculate_indicator

Calculate technical indicators on price data.

Input:

{
  "symbol": "AAPL",
  "indicator": "rsi",
  "period": 14,
  "interval": "1d"
}

Example:

Calculate the RSI for Apple stock over the last 14 days

Supported Indicators:

• RSI (Relative Strength Index): Momentum oscillator, identifies overbought/oversold conditions
• MACD (Moving Average Convergence Divergence): Trend following indicator
• SMA (Simple Moving Average): Average price over period
• EMA (Exponential Moving Average): Weighted average giving more importance to recent prices
• Bollinger Bands: Volatility indicator with upper/lower bands
• Stochastic: Momentum indicator comparing closing price to price range

5. search_ticker

Search for ticker symbols by company name or keyword.

Input:

{
  "query": "Tesla",
  "limit": 10
}

Example:

Search for Tesla's ticker symbol

6. get_market_news

Retrieve recent news articles.

Input:

{
  "symbol": "AAPL",
  "limit": 10
}

Example:

Get the latest news about Apple
Get general market news (omit symbol)

SEC Filings & Institutional Analysis Tools

7. get_sec_form4_filings (Insider Trading)

Track insider trading activity from SEC Forms 3, 4, and 5. See what CEOs, directors, and major shareholders are buying or selling.

Input:

{
  "symbol": "AAPL",
  "limit": 20,
  "transactionType": "buy",  // "buy", "sell", or "all"
  "formType": "4"  // "3", "4", or "5"
}

Example:

Show me recent insider buying for Apple
What insider trades happened at Tesla?
Track Form 4 filings for NVDA

Form Types:

• Form 3: Initial ownership statements when someone becomes an insider
• Form 4: Changes in ownership (buy/sell transactions)
• Form 5: Annual summary of transactions

Output: Transaction details with shares, prices, values, insider positions, and SEC filing URLs.

8. get_13f_institutional_holdings

Track what hedge funds and institutional investors are buying and selling from SEC Form 13F quarterly filings.

Input:

{
  "cik": "0001067983",  // Berkshire Hathaway CIK
  "limit": 10,
  "compareQuarters": true
}

Example:

What is Berkshire Hathaway buying? (CIK: 0001067983)
Show me Warren Buffett's latest portfolio changes
Track Bridgewater's 13F filings
What did hedge funds buy this quarter?

Famous Investors CIKs:

• Berkshire Hathaway (Warren Buffett): 0001067983
• Vanguard Group: 0000102909
• BlackRock: 0001086364

Output: Institution details, portfolio holdings, quarterly changes (additions, reductions, increases, decreases).

9. get_13dg_ownership_changes

Monitor major ownership changes (5%+ stakes) and activist investor campaigns from SEC Schedule 13D and 13G filings.

Input:

{
  "symbol": "TSLA",
  "formType": "13D",  // "13D", "13G", or "both"
  "activistOnly": false
}

Example:

Show me recent 13D filings (activist investors)
Who filed major ownership stakes in Tesla?
Track activist investor activity
Recent 5%+ ownership changes

Form Types:

• 13D: Active ownership with intent to influence company (activist investors)
• 13G: Passive ownership without intent to influence

Output: Reporting person, ownership percentage, shares, purpose of acquisition, filing dates.

10. get_8k_material_events

Get real-time notifications of material corporate events from SEC Form 8-K current reports.

Input:

{
  "symbol": "AAPL",
  "category": "financial",  // "business", "financial", "securities", "governance", "disclosure", "all"
  "itemNumbers": ["2.02", "5.02"]  // Optional: specific item numbers
}

Example:

Show me recent 8-K filings for Apple
What are the latest material events?
Recent earnings-related 8-Ks (Item 2.02)
Management changes (Item 5.02)

Event Categories:

• Business: Material agreements, bankruptcy, cybersecurity incidents
• Financial: M&A completion, earnings releases, impairments
• Securities: Delisting notices, unregistered sales
• Governance: Director/officer changes, control changes
• Disclosure: Regulation FD disclosures

Key Item Numbers:

• 1.01: Material agreements
• 1.05: Cybersecurity incidents
• 2.01: M&A completion
• 2.02: Earnings releases
• 5.02: Director/officer changes
• 8.01: Other material events

Output: Event details, item categories, filing dates, company info, SEC filing URLs.

Fundamental Analysis & Valuation Tools

11. get_financial_statements

Access comprehensive financial data from SEC 10-K (annual) and 10-Q (quarterly) filings.

Input:

{
  "symbol": "AAPL",
  "periodType": "annual",  // "annual" or "quarterly"
  "limit": 3,
  "includeRatios": true
}

Example:

Get Apple's annual financial statements
Show me Tesla's quarterly financials
What is Microsoft's profit margin?
Compare balance sheets over 4 quarters

Available Data:

• Income Statement: Revenue, gross profit, operating income, net income, EPS, EBITDA
• Balance Sheet: Assets, liabilities, equity, cash, debt, working capital
• Cash Flow: Operating cash flow, capital expenditures, free cash flow

Financial Ratios Calculated:

• Profitability: Gross margin, operating margin, net margin, ROA, ROE
• Liquidity: Current ratio, quick ratio
• Leverage: Debt-to-equity, debt-to-assets
• Efficiency: Asset turnover

Output: Complete financial statements, calculated ratios, period information.

12. calculate_dcf_valuation

Calculate intrinsic value using Discounted Cash Flow (DCF) analysis with 5-year projections and terminal value.

Input:

{
  "symbol": "AAPL",
  "customInputs": {
    "revenueGrowthRates": [0.15, 0.12, 0.10, 0.08, 0.06],
    "fcfMargin": 0.25,
    "wacc": 0.10,
    "terminalGrowthRate": 0.03
  },
  "includeSensitivity": true
}

Example:

Calculate intrinsic value for Apple
Is Tesla overvalued or undervalued?
DCF analysis for NVDA with sensitivity
What is Microsoft worth based on DCF?
Should I buy this stock? (based on valuation)

Customizable Inputs:

• Revenue growth rates (5-year projection)
• Free cash flow margin
• WACC (Weighted Average Cost of Capital)
• Terminal growth rate
• Shares outstanding, net debt

Investment Recommendations:

• Strong Buy: >30% upside
• Buy: 15-30% upside
• Hold: -10% to 15%
• Sell: -25% to -10%
• Strong Sell: <-25% downside

Sensitivity Analysis: Tests how valuation changes with:

• WACC variations (+/- 2%)
• Terminal growth rate variations (+/- 1%)
• FCF margin variations (+/- 5%)

Output: Intrinsic value per share, current price comparison, recommendation, 5-year projections, optional sensitivity analysis.

13. compare_peer_companies

Compare key financial metrics across multiple companies for competitive analysis and investment decisions.

Input:

{
  "symbols": ["AAPL", "MSFT", "GOOGL"],
  "metrics": ["marketCap", "peRatio", "netMargin", "roe"]  // Optional
}

Example:

Compare Apple, Microsoft, and Google financials
Which tech company has better margins?
Compare Tesla vs traditional automakers
Analyze competitors in the semiconductor sector

Comparison Metrics:

• Valuation: Market cap, P/E ratio, P/B ratio, EV/EBITDA
• Profitability: Gross margin, operating margin, net margin, ROA, ROE
• Growth: Revenue growth, earnings growth
• Liquidity: Current ratio, quick ratio
• Leverage: Debt-to-equity, debt-to-assets, interest coverage
• Efficiency: Asset turnover
• Earnings Quality: Quality of earnings (OCF/Net Income), cash conversion rate

Rankings: Automatically ranks companies by key metrics to identify leaders and laggards.

Output: Side-by-side comparison of up to 10 companies with rankings for key metrics.

Options Trading Tools

14. get_options_chain

Get complete options chain data with all available strikes, calls, and puts.

Input:

{
  "symbol": "AAPL",
  "expirationDate": "2024-06-21"  // Optional
}

Example:

Show me the options chain for Apple
Get options for TSLA expiring June 21, 2024

Output: Calls and puts with strikes, premiums, volume, open interest, implied volatility, bid/ask spreads.

15. calculate_greeks

Calculate option Greeks (Delta, Gamma, Theta, Vega, Rho) using Black-Scholes model.

Input:

{
  "symbol": "AAPL",
  "strike": 180,
  "expirationDate": "2024-06-21",
  "optionType": "call"
}

Example:

Calculate Greeks for AAPL $180 call expiring June 21
What are the Greeks for a TSLA $250 put?

Greeks Explained:

• Delta (0-1 for calls, -1-0 for puts): Price sensitivity - how much the option price changes per $1 move in stock
• Gamma: Rate of delta change - how quickly delta changes as stock moves
• Theta: Time decay - how much value the option loses per day
• Vega: Volatility sensitivity - impact of 1% change in implied volatility
• Rho: Interest rate sensitivity - impact of 1% change in rates

16. get_earnings_calendar

Get upcoming earnings dates and historical earnings data.

Input:

{
  "symbol": "AAPL",
  "daysAhead": 30  // Optional
}

Example:

When is Apple's next earnings date?
Show me upcoming earnings for TSLA

Why it matters: Earnings announcements cause volatility spikes, significantly impacting options prices. Options traders often avoid holding positions through earnings or specifically trade earnings volatility.

17. get_dividend_info

Get comprehensive dividend information including ex-dividend dates.

Input:

{
  "symbol": "AAPL"
}

Example:

What's Apple's dividend yield and ex-dividend date?
Get dividend information for MSFT

Why it matters: Ex-dividend dates affect options pricing, especially for calls. Stock price typically drops by the dividend amount on ex-div date.

18. calculate_historical_volatility

Calculate historical (realized) volatility for multiple periods.

Input:

{
  "symbol": "AAPL",
  "periods": [10, 20, 30, 60, 90]  // Days
}

Example:

Calculate 30-day historical volatility for TSLA
Show me historical volatility trends for AAPL

Why it matters: Compare historical volatility (HV) with implied volatility (IV) to identify overpriced or underpriced options. High IV relative to HV suggests expensive options (good for selling), while low IV relative to HV suggests cheap options (good for buying).

19. calculate_max_pain

Calculate the max pain price where most options expire worthless.

Input:

{
  "symbol": "AAPL",
  "expirationDate": "2024-06-21"  // Optional
}

Example:

What's the max pain for AAPL options?
Calculate max pain for next week's SPY expiration

Theory: Max pain theory suggests prices gravitate toward the strike where option buyers lose the most money (and option writers profit the most) as expiration approaches.

20. get_implied_volatility

Get implied volatility data and compare with historical volatility.

Input:

{
  "symbol": "AAPL"
}

Example:

What's the current IV for Tesla options?
Show me implied volatility by expiration for AAPL

Analysis provided:

• Current ATM IV
• IV vs HV comparison
• IV by expiration (term structure)
• High/low IV environment assessment

21. analyze_options_strategy

Analyze complex options strategies with P&L calculations, Greeks, and risk metrics.

Input:

{
  "symbol": "AAPL",
  "strategy": "iron_condor",
  "legs": [
    {"strike": 170, "optionType": "put", "action": "buy", "quantity": 1},
    {"strike": 175, "optionType": "put", "action": "sell", "quantity": 1},
    {"strike": 185, "optionType": "call", "action": "sell", "quantity": 1},
    {"strike": 190, "optionType": "call", "action": "buy", "quantity": 1}
  ],
  "expirationDate": "2024-06-21"
}

Supported Strategies:

• Single options: call, put
• Stock + option: covered_call, protective_put
• Vertical spreads: bull_call_spread, bear_put_spread, bull_put_spread, bear_call_spread
• Volatility: long_straddle, short_straddle, long_strangle, short_strangle
• Advanced: iron_condor, iron_butterfly, butterfly_spread, calendar_spread, diagonal_spread

Example:

Analyze an iron condor on SPY with strikes 170/175/185/190
What's the risk/reward for a bull call spread on AAPL $175/$180?
Show me P&L chart for a covered call on TSLA at $250 strike

Output:

• Max profit & max loss
• Break-even points
• Net premium/debit
• Combined Greeks for entire position
• P&L chart (profit/loss at various prices)
• Risk/reward ratio

22. get_extended_hours_data

Track pre-market and after-hours trading activity.

Input:

{
  "symbol": "TSLA"
}

Example:

What's Tesla trading at in pre-market?
Show me after-hours price for AAPL
Get extended hours data for NVDA

Output:

{
  "symbol": "TSLA",
  "companyName": "Tesla, Inc.",
  "currentSession": "pre-market",
  "preMarket": {
    "price": 185.50,
    "change": 2.35,
    "changePercent": 1.28,
    "isActive": true
  },
  "regularMarket": {
    "price": 183.15,
    "change": -1.50,
    "changePercent": -0.81,
    "isOpen": false
  },
  "currentPrice": 185.50,
  "currentChange": 2.35
}

Trading Sessions:

• Pre-market: 4:00 AM - 9:30 AM ET
• Regular: 9:30 AM - 4:00 PM ET
• After-hours: 4:00 PM - 8:00 PM ET

23. get_short_interest

Monitor short interest and short squeeze potential.

Input:

{
  "symbol": "GME"
}

Example:

What's the short interest for GameStop?
Show me short squeeze potential for AMC
How many days to cover short positions on TSLA?

Output:

{
  "symbol": "GME",
  "companyName": "GameStop Corp.",
  "shortInterest": {
    "shortRatio": 7.5,
    "shortPercentOfFloat": 22.3,
    "sharesShort": 15420000,
    "shortInterestChange": 1200000,
    "shortInterestChangePercent": 8.4
  },
  "squeezeAnalysis": {
    "risk": "high",
    "score": 85,
    "interpretation": "HIGH SQUEEZE RISK: high days to cover (7.5 days) and very high short interest (22.3% of float)"
  }
}

Squeeze Risk Levels:

• High: Short ratio >10 days OR short % >30% (Score: 70-100)
• Medium: Short ratio >3 days OR short % >15% (Score: 40-69)
• Low: Lower short interest (Score: 0-39)

24. get_analyst_ratings

Track Wall Street analyst recommendations and target prices.

Input:

{
  "symbol": "AAPL"
}

Example:

What do analysts think about Apple?
Show me analyst ratings for Microsoft
What's the price target for NVDA?

Output:

{
  "symbol": "AAPL",
  "companyName": "Apple Inc.",
  "consensus": {
    "rating": "buy",
    "targetPrice": 195.50,
    "targetPriceHigh": 225.00,
    "targetPriceLow": 165.00,
    "numberOfAnalysts": 42
  },
  "ratingDistribution": {
    "strongBuy": 15,
    "buy": 20,
    "hold": 5,
    "sell": 2,
    "strongSell": 0,
    "total": 42
  },
  "trend": {
    "direction": "improving",
    "bullishPercent": 83.3,
    "bearishPercent": 4.8,
    "description": "Strong bullish consensus with 83% buy ratings"
  },
  "priceComparison": {
    "currentPrice": 178.50,
    "upside": 9.5,
    "upsideToHigh": 26.1
  }
}

Consensus Ratings:

• Buy: >50% buy/strong buy ratings
• Hold: Mixed opinions or 60%+ hold ratings
• Sell: >50% sell/strong sell ratings

25. analyze_news_impact

Correlate news events with stock price movements.

Input:

{
  "symbol": "TSLA",
  "days_back": 30,
  "news_limit": 20
}

Example:

How does news affect Tesla's stock price?
Which news had the biggest impact on AAPL?
Analyze news correlation for Microsoft

Output:

{
  "symbol": "TSLA",
  "companyName": "Tesla, Inc.",
  "overallStatistics": {
    "correlationStrength": "strong",
    "significantImpacts": 5,
    "averageImpact1Hour": 0.8,
    "averageImpact1Day": 2.3,
    "impactDistribution": {
      "positiveNews": 12,
      "negativeNews": 5,
      "neutralNews": 3
    }
  },
  "topImpactEvents": {
    "mostPositiveImpact": {
      "title": "Tesla Deliveries Beat Expectations",
      "changePercent": 8.5,
      "impactLevel": "significant"
    },
    "mostNegativeImpact": {
      "title": "Production Delays Announced",
      "changePercent": -5.2,
      "impactLevel": "significant"
    }
  },
  "newsImpacts": [
    {
      "news": {
        "title": "Tesla Deliveries Beat Expectations",
        "timestamp": "2024-01-10T14:30:00Z"
      },
      "priceChanges": {
        "after1Hour": {
          "changePercent": 1.2
        },
        "after1Day": {
          "changePercent": 8.5
        }
      },
      "impact": {
        "level": "significant",
        "score": 92,
        "direction": "positive"
      }
    }
  ]
}

Impact Classification:

• Significant: ≥5% price movement (Score: 70-100)
• Moderate: 2-5% price movement (Score: 40-69)
• Minor: 0.5-2% price movement (Score: 15-39)
• Negligible: <0.5% price movement (Score: 0-14)

Available Resources

watchlist://default

Access your default watchlist of tracked symbols.

Example:

Show me my watchlist

market://summary

Get real-time summary of major market indices (S&P 500, Dow Jones, NASDAQ, VIX).

Example:

What's the market doing today?

market://trending

Get trending and most active stocks.

Example:

What stocks are trending?

Example Use Cases

Investment Analysis

1. Get current price of Tesla (TSLA)
2. Show me the last 6 months of daily data for TSLA
3. Calculate the 50-day moving average for TSLA
4. Calculate RSI for TSLA
5. Get latest news about Tesla

Crypto Tracking

1. Get current prices for BTC-USD, ETH-USD, and ADA-USD
2. Show me Bitcoin's price history for the last week with hourly intervals
3. Calculate MACD for Ethereum
4. What's the market summary?

Technical Analysis

1. Calculate Bollinger Bands for Apple stock
2. Show me the RSI for MSFT
3. Calculate the 20-day and 50-day moving averages for GOOGL
4. Get stochastic oscillator for SPY

Market Research

1. Search for companies in the electric vehicle sector
2. Get quotes for the top results
3. Compare their market caps and P/E ratios
4. Get news for each company

Options Trading - Pre-Earnings Analysis

1. When is Apple's next earnings date?
2. Show me the options chain for AAPL
3. What's the current implied volatility for AAPL?
4. Calculate historical volatility for comparison
5. Find options with high IV to potentially sell premium

Options Trading - Strategy Building

1. Show me TSLA options expiring next month
2. Calculate Greeks for $250 call
3. Analyze an iron condor strategy on TSLA
4. What's the max profit and max loss?
5. Show me the P&L chart

Options Trading - Risk Management

1. Get the Greeks for my AAPL $180 call position
2. What's my delta exposure?
3. How much am I losing to time decay (theta)?
4. Calculate max pain for this expiration
5. Should I hedge with a protective put?

Options Trading - Volatility Analysis

1. Compare IV vs HV for SPY
2. Is this a high or low volatility environment?
3. Show me IV by expiration (term structure)
4. Find opportunities where IV is elevated
5. Calculate historical volatility for the past 30 days

Technical Details

Data Source

All data is sourced from Yahoo Finance via the yahoo-finance2 library. Yahoo Finance provides:

• Real-time quotes (with 15-minute delay for some markets)
• Historical data going back many years
• Cryptocurrency data (BTC-USD, ETH-USD, etc.)
• No API key required
• Free for personal and educational use

Caching Strategy

The server implements intelligent caching to minimize API calls and improve performance:

• Quotes: 5 seconds (adjusts based on market hours)
• Historical Data: 1 hour during market hours, 24 hours after hours
• News: 5 minutes
• Search Results: 1 hour
• Technical Indicators: 5 minutes
• Market Summary: 1 minute

Cache TTLs automatically extend during weekends and after market hours to reduce unnecessary API calls.

Error Handling

The server provides clear, actionable error messages:

• Invalid Symbol (404): Symbol not found, check ticker
• Validation Error (400): Invalid input parameters
• Rate Limit (429): Too many requests, try again later
• Network Error (502): Connection issues
• Timeout (504): Request took too long

Technical Indicators Library

Uses the technicalindicators library for accurate, battle-tested calculations. Supports:

• RSI with overbought/oversold signals
• MACD with bullish/bearish crossover detection
• Multiple moving average types
• Bollinger Bands with bandwidth and %B calculations
• Stochastic oscillator

CI/CD & Automation

This project uses GitHub Actions for continuous integration and deployment:

Automated Workflows

1. PR Quality Checks - Runs on every pull request

   • Security scanning (npm audit, Trivy, TruffleHog)
   • Code quality checks (ESLint, formatting)
   • Build verification
   • Tests across multiple Node.js versions (18.x, 20.x, 22.x)
   • Dependency review

2. Automatic Publishing - Runs on merge to main

   • Auto version bump
   • npm registry publication with provenance
   • GitHub release creation
   • Package artifact upload

Setup for Contributors

See .github/workflows/README.md for detailed workflow documentation.

Required Secrets (for maintainers):

• NPM_TOKEN - For publishing to npm registry (requires 2FA bypass or automation token)

Development

Claude Code Integration

This project is optimized for development with Claude Code, Anthropic's official CLI tool. The .claude/ directory contains configuration and guides to help Claude work more effectively with the codebase.

For Claude Code Users:

• .claude/CLAUDE_GUIDE.md - Quick reference for working with this codebase
• .claude/ARCHITECTURE.md - Detailed system architecture and design decisions
• .claude/COMMON_TASKS.md - Step-by-step workflows for common development tasks
• .claude/settings.local.json - Pre-configured permissions for common operations
• .claudeignore - Optimized to exclude unnecessary files from context

Getting Started with Claude Code:

# Install Claude Code (if not already installed)
npm install -g @anthropic/claude-code

# Navigate to project and start Claude
cd mcp-financex
claude

# Claude will automatically load project configuration
# Try: "Help me add a new technical indicator"

Project Structure

mcp-financex/
├── .claude/                  # Claude Code configuration
│   ├── CLAUDE_GUIDE.md      # Quick reference guide
│   ├── ARCHITECTURE.md      # System architecture
│   ├── COMMON_TASKS.md      # Development workflows
│   └── settings.local.json  # Claude permissions
├── src/
│   ├── index.ts              # Entry point
│   ├── server.ts             # MCP server setup
│   ├── tools/                # MCP tool implementations
│   ├── resources/            # MCP resource implementations
│   ├── services/             # Core services (Yahoo Finance, cache, indicators)
│   ├── types/                # TypeScript type definitions
│   └── utils/                # Utilities (error handling, validation)
├── tests/                    # Test files
├── .claudeignore             # Files to exclude from Claude context
├── package.json
├── tsconfig.json
└── README.md

Scripts

• npm run build - Compile TypeScript to JavaScript
• npm run dev - Run in development mode with auto-reload
• npm start - Run compiled server
• npm test - Run tests
• npm run lint - Run ESLint
• npm run format - Format code with Prettier

Testing

Run the test suite:

npm test

Run tests in watch mode:

npm run test:watch

Generate coverage report:

npm run test:coverage

Environment Variables

Configuration options (optional, defaults provided):

# Server Configuration
NODE_ENV=development
LOG_LEVEL=info

# Cache Configuration (in seconds)
CACHE_DEFAULT_TTL=300
CACHE_QUOTE_TTL=5
CACHE_HISTORICAL_TTL=3600
CACHE_NEWS_TTL=300
CACHE_SEARCH_TTL=3600
CACHE_INDICATOR_TTL=300

# Yahoo Finance Configuration
YAHOO_FINANCE_TIMEOUT=10000
YAHOO_FINANCE_RETRY_ATTEMPTS=3
YAHOO_FINANCE_RETRY_DELAY=1000

Limitations

• Rate Limiting: Yahoo Finance has rate limits. The server implements caching and retry logic to mitigate this.
• Real-time Data: Some quotes may have a 15-minute delay depending on the exchange.
• Intraday Data: Intraday intervals (1m, 5m, etc.) have limited historical data (typically 7 days).
• Crypto Coverage: Primarily supports major cryptocurrencies paired with USD (BTC-USD, ETH-USD, etc.).
• No Authentication: Yahoo Finance data is public and doesn't require authentication, but usage should comply with Yahoo's terms of service.

Future Enhancements

Planned features for future releases:

• Portfolio tracking and P&L calculations
• Price alerts and notifications
• Backtesting capabilities
• More technical indicators (Ichimoku, Fibonacci, etc.)
• Options data and Greeks calculations
• Comparison tools for multiple stocks
• Export to CSV/JSON
• Redis caching for multi-instance deployments
• WebSocket streaming for real-time updates

Troubleshooting

"Symbol not found" Error

Make sure you're using the correct ticker symbol format:

• Stocks: AAPL, MSFT, GOOGL
• Crypto: BTC-USD, ETH-USD (not BTC alone)
• Indices: ^GSPC (S&P 500), ^DJI (Dow Jones)

"Rate limit exceeded" Error

The server is making too many requests to Yahoo Finance. The built-in caching should prevent this, but if it occurs:

• Wait a few minutes before retrying
• Reduce the frequency of requests
• Check cache configuration

Connection Issues

Ensure you have a stable internet connection. The server will automatically retry failed requests up to 3 times with exponential backoff.

Publishing to npm

To make this package available for external deployment (so users can run it with npx without installation):

First-time setup:

1. Create an npm account (if you don't have one):

   npm adduser

2. Update package.json with your GitHub repository URL:

   "repository": {
     "type": "git",
     "url": "git+https://github.com/xerktech/mcp-financex.git"
   }

3. Build and publish:

   npm run build
   npm publish

For updates:

1. Update version in package.json:

   npm version patch  # 1.0.0 -> 1.0.1
   npm version minor  # 1.0.0 -> 1.1.0
   npm version major  # 1.0.0 -> 2.0.0

2. Publish:

   npm publish

Once published, users can use it in their Claude Desktop config:

{
  "mcpServers": {
    "finance": {
      "command": "npx",
      "args": ["-y", "mcp-financex"]
    }
  }
}

This is similar to how the Alpha Vantage MCP works with uvx - users don't need to install anything locally!

Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Please ensure:

• Code follows the existing style (use npm run format)
• Tests pass (npm test)
• New features include tests
• Documentation is updated

License

MIT License - see LICENSE file for details

Acknowledgments

• Model Context Protocol by Anthropic
• yahoo-finance2 for Yahoo Finance API access
• technicalindicators for technical analysis calculations

Disclaimer

This software is provided for educational and informational purposes only. It is not intended as financial advice. Always do your own research and consult with a qualified financial advisor before making investment decisions. The authors are not responsible for any financial losses incurred through the use of this software.

Yahoo Finance data is subject to Yahoo's terms of service. This project is not affiliated with or endorsed by Yahoo.